scholarly journals Knowledge Transfer with Citizen Science: Luft-Leipzig Case Study

2021 ◽  
Vol 13 (14) ◽  
pp. 7855
Author(s):  
Liina Tõnisson ◽  
Jens Voigtländer ◽  
Michael Weger ◽  
Denise Assmann ◽  
Ralf Käthner ◽  
...  
Keyword(s):  
Air Quality ◽  
Knowledge Transfer ◽  
Citizen Science ◽  
State Of The Art ◽  
Community Based Participatory Research ◽  
The Novel ◽  
Novel Method ◽  
Transfer Method ◽  
Research Initiatives

Community-based participatory research initiatives such as “hackAir”, “luftdaten.info”, “senseBox” “CAPTOR”, “CurieuzeNeuzen Vlaanderen”, “communityAQ”, and “Healthy Air, Healthier Children” campaign among many others for mitigating short-lived climate pollutants (SLCPs) and improving air quality have reported progressive knowledge transfer results. These research initiatives provide the research community with the practical four-element state-of-the-art method for citizen science. For the preparation-, measurements-, data analysis-, and scientific support-elements that collectively present the novel knowledge transfer method, the Luft-Leipzig project results are presented. This research contributes to science by formulating a novel method for SLCP mitigation projects that employ citizen scientists. The Luft-Leipzig project results are presented to validate the four-element state-of-the-art method. The method is recommended for knowledge transfer purposes beyond the scope of mitigating short-lived climate pollutants (SLCPs) and improving air quality.

A novel method for the determination of linting propensity of paper

TAPPI Journal ◽  
2012 ◽  
Vol 11 (10) ◽  
pp. 9-17
Author(s):  
ALESSANDRA GERLI ◽  
LEENDERT C. EIGENBROOD
Keyword(s):  
Ash Content ◽  
The Novel ◽  
Offset Printing ◽  
Excellent Correlation ◽  
End Conditions ◽  
Bottom Side ◽  
Novel Method ◽  
Total Fraction

A novel method was developed for the determination of linting propensity of paper based on printing with an IGT printability tester and image analysis of the printed strips. On average, the total fraction of the surface removed as lint during printing is 0.01%-0.1%. This value is lower than those reported in most laboratory printing tests, and more representative of commercial offset printing applications. Newsprint paper produced on a roll/blade former machine was evaluated for linting propensity using the novel method and also printed on a commercial coldset offset press. Laboratory and commercial printing results matched well, showing that linting was higher for the bottom side of paper than for the top side, and that linting could be reduced on both sides by application of a dry-strength additive. In a second case study, varying wet-end conditions were used on a hybrid former machine to produce four paper reels, with the goal of matching the low linting propensity of the paper produced on a machine with gap former configuration. We found that the retention program, by improving fiber fines retention, substantially reduced the linting propensity of the paper produced on the hybrid former machine. The papers were also printed on a commercial coldset offset press. An excellent correlation was found between the total lint area removed from the bottom side of the paper samples during laboratory printing and lint collected on halftone areas of the first upper printing unit after 45000 copies. Finally, the method was applied to determine the linting propensity of highly filled supercalendered paper produced on a hybrid former machine. In this case, the linting propensity of the bottom side of paper correlated with its ash content.

scholarly journals Citizen as Sensors' Commitment in Urban Public Action

2019 ◽  
Vol 8 (4) ◽  
pp. 42-59 ◽  
Author(s):  
Gwendoline l'Her ◽  
Myriam Servières ◽  
Daniel Siret
Keyword(s):  
Air Quality ◽  
Citizen Science ◽  
Urban Air Quality ◽  
Urban Air ◽  
The Public ◽  
Public Action ◽  
Quality Issue ◽  
Data Analyses ◽  
The Impact

Based on a case study in Rennes, the article presents how a group of urban public actors re-uses methods and technology from citizen sciences to raise the urban air quality issue in the public debate. The project gives a group of inhabitants the opportunity to follow air quality training and proceed PM2.5µm measurements. The authors question the impact of the ongoing hybridisation between citizen science and urban public action on participants' commitment. The authors present how the use of PM2.5-sensors during 11 weeks led to a disengagement phenomenon, even if the authors observe a strong participation to workshops. These results come from an interdisciplinary methodology using observations, interviews, and data analyses.

METODE TRANSFER PENGETAHUAN PADA PERUSAHAAN KELUARGA DI INDONESIA

MODUS ◽  
2016 ◽  
Vol 27 (2) ◽  
pp. 125
Author(s):  
Gabriella Hanny Kusuma
Keyword(s):  
Knowledge Transfer ◽  
Transfer Process ◽  
Interpersonal Relationship ◽  
Analysis Data ◽  
Learning By Doing ◽  
Validity And Reliability ◽  
Data Source ◽  
Transfer Method ◽  
Intergenerational Knowledge

This study aims to explore the intergenerational knowledge transfer mechanism in family frms. Using the case study method, this qualitative research examines 14 family frms. Data were obtained through semi-structured inter views with participants, and then analyzed by using content analysis. Visual mapping and temporal bracketing techniques were also used for data analysis. Data source triangulation and member checking methods were utilized to test the validity and reliability of the data. The fndings show that interpersonal relationship between the predecessor (parents) and the successor (children) is needed in the knowledge transfer process. The physical presence of the predecessor and the direct involvement of the successor in the business are two important elements in the knowledge transfer process, wherein the successor obtains information from inside and outside the frm. The intergenerational knowledge transfer process allows the successor to get real experiences and to run their own experiments. Learning-by-doing is a knowledge transfer method that is commonly used in family firms.Keywords: family business company, predecessor, successor, transfer knowledge.

Citizen Science, Air Quality, and the Internet of Things

2017 ◽  
pp. 137-160 ◽  
Author(s):  
Ilze Black ◽  
Graham White
Keyword(s):  
Air Quality ◽  
Internet Of Things ◽  
Citizen Science ◽  
Quality Measurement ◽  
The Internet ◽  
Health Issues ◽  
Collective Sensing ◽  
The Internet Of Things ◽  
Science Initiative

This chapter discusses the emergence of the Internet of Things, using a case study of a citizen science initiative, focusing in particular on issues involved in measuring air quality. The core of the citizen science initiative was formed by a world-wide network of early adaptors of the Internet of Things who, motivated by public health issues, set out to create widely available tools for air quality measuring. With these tools, they established a global, citizen-led, air quality measurement network. Besides highlighting a number of social and technological issues which are involve any such enterprise, this chapter engages with the discourse surrounding the use of IoT in collective sensing projects. Two questions are salient here. Firstly, can IoT technology be used in a citizen science context to monitor air quality? And secondly, does the construction of these devices lead to a successful mobilisation around issues of air quality?

The information resources utilization index: a case study in China

2016 ◽  
Vol 50 (1) ◽  
pp. 2-15 ◽  
Author(s):  
Chaolemen Borjigin ◽  
Huiling Feng ◽  
Bin Zhang ◽  
Guojun Zhao
Keyword(s):  
Information Resources ◽  
The Novel ◽  
Literature Study ◽  
Typical Application ◽  
Content Type ◽  
Data Weighting ◽  
Novel Method ◽  
First Time ◽  
Theoretical Foundations

Purpose – The purpose of this paper is to introduce a novel method for measuring the utilization of information resources (IRs) in order to provide a complementary index for existing information development indices and to reveal the links between the use of IRs and the readiness of ICT. Design/methodology/approach – This research mainly employs three types of research methodologies: literature study was conducted for defining the term of IRs and for finding the common features of the relevant indices; methods to construct composite indicators are used for developing a theoretical framework, selecting variables, imputation of missing data, normalization of data, weighting and aggregation of the novel index; a case study is carried out to provide a typical application for the index and to reveal the underlying links between the use of IRs and the readiness of ICT. Findings – This paper for the first time proposes a method to measure the utilization of IRs from a Chinese perspective and provides its theoretical foundations, conceptual frameworks, main steps and curial techniques. Further, correlations between the use of IRs and the readiness of ICT in China between 2009 and 2011 are also descried. Practical implications – Measuring the utilization of IRs provides the authorities with an alternative tool to monitor the evolutions a country toward information society. In addition, the novel index presented in this paper can also serve as a method to indentify the gaps among regions in deploying their IRs. Originality/value – This is the first paper to introduce a new measure for utilization of IRs and is also the first paper to reveal links between the use of IRs and the readiness of ICT as well as Gross Domestic Product in China.

scholarly journals Picture Fuzzy ARAS Method for Freight Distribution Concept Selection

Symmetry ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1062 ◽  
Author(s):  
Stefan Jovčić ◽  
Vladimir Simić ◽  
Petr Průša ◽  
Momčilo Dobrodolac
Keyword(s):  
State Of The Art ◽  
Evaluation Criteria ◽  
Third Party ◽  
The Novel ◽  
Third Party Logistics ◽  
Concept Selection ◽  
The Czech Republic ◽  
The Third ◽  
Selection Of

Companies can perform their freight distribution in three different ways. The first concept, the in-house concept, represents the use of a company’s own resources and knowledge to organize transportation from the production to retailers or from the warehouse to customers. The opposite concept is to outsource distribution activities by hiring third-party logistics providers. The third concept represents a combination of the previous two. Although the arguments in favor of outsourcing can be found in the literature, an appropriate selection of a freight distribution concept is specific for each company and depends on many evaluation criteria and their symmetrical roles. This paper presents a methodology that can be used by companies that need to choose their freight distribution concept. An advanced extension of the Additive Ratio ASsessment (ARAS) method is developed to solve the freight distribution concept selection problem. To illustrate the implementation of the proposed methodology, a tire manufacturing company from the Czech Republic is taken as a case study. However, the proposed picture fuzzy ARAS method is general and can be used by any other company. To validate the novel picture fuzzy ARAS method, a comparative analysis with the nine existing state-of-the-art picture fuzzy multi-criteria decision-making methods is provided.

scholarly journals Citizen as Sensors' Commitment in Urban Public Action

2022 ◽  
pp. 646-666
Author(s):  
Gwendoline l'Her ◽  
Myriam Servières ◽  
Daniel Siret
Keyword(s):  
Air Quality ◽  
Citizen Science ◽  
Urban Air Quality ◽  
Urban Air ◽  
The Public ◽  
Public Action ◽  
Quality Issue ◽  
Data Analyses ◽  
The Impact

Based on a case study in Rennes, the article presents how a group of urban public actors re-uses methods and technology from citizen sciences to raise the urban air quality issue in the public debate. The project gives a group of inhabitants the opportunity to follow air quality training and proceed PM2.5µm measurements. The authors question the impact of the ongoing hybridisation between citizen science and urban public action on participants' commitment. The authors present how the use of PM2.5-sensors during 11 weeks led to a disengagement phenomenon, even if the authors observe a strong participation to workshops. These results come from an interdisciplinary methodology using observations, interviews, and data analyses.

scholarly journals Inverse Interval Field Quantification via Digital Image Correlation

2018 ◽  
Vol 885 ◽  
pp. 304-310
Author(s):  
Matthias Faes ◽  
David Moens
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Spatial Uncertainty ◽  
Image Correlation ◽  
The Novel ◽  
Full Field ◽  
Novel Method ◽  
Interval Valued ◽  
Accurate Quantification

This paper presents the application of a new method for the identification and quantification of interval valued spatial uncertainty under scarce data.Specifically, full-field strain measurements, obtained via Digital Image Correlation, are applied in conjunction with a quasi-static finite element model.To apply these high-dimensional but scarce data, extensions to the novel method are introduced.A case study, investigating spatial uncertainty in Young's modulus of PA-12 parts, produced via Laser Sintering, shows that an accurate quantification of the constituting uncertainty is possible, albeit being somewhat conservative with respect to deterministic values reported in literature.

scholarly journals PAL-VMEA: A Novel Method for Enhancing Decision-Making Consistency in Maintenance Management

2020 ◽  
Vol 10 (22) ◽  
pp. 8040
Author(s):  
Marjorie M. Bellinello ◽  
Miguel A. C. Michalski ◽  
Arthur H. A. Melani ◽  
Adherbal Caminada Netto ◽  
Carlos A. Murad ◽  
...  
Keyword(s):  
Decision Making ◽  
Failure Modes ◽  
Epistemic Uncertainty ◽  
Maintenance Planning ◽  
The Novel ◽  
Effect Analysis ◽  
Knowledge Based ◽  
Novel Method ◽  
Different Sources

Decision-making regarding maintenance planning has become increasingly critical. In view of the need for more assertive decisions, methods, and tools based on failure analysis, performance indicators, and risk analysis have obtained great visibility. One of these methods, the Variation and Mode Effect Analysis (VMEA), is a statistically based method that analyses the effect of different sources of variations on a system. One great advantage of VMEA is to facilitate the understanding of these variations and to highlight the system areas in which improvement efforts should be directed. However, like many knowledge-based methods, the inherent epistemic uncertainty can be propagated to its result, influencing following decisions. To minimize this issue, this work proposes the novel combination of VMEA with Paraconsistent Annotated Logic (PAL), a technique that withdraws the principle of noncontradiction, allowing better decision-making when contradictory opinions are present. To demonstrate the method applicability, a case study analyzing a hydrogenerator components is presented. Results show how the proposed method is capable of indicating which are the failure modes that most affect the analyzed system, as well as which variables must be monitored so that the symptoms related to each failure mode can be observed, helping in decision-making regarding maintenance planning.

Citizen Science, Air Quality, and the Internet of Things

2017 ◽  
pp. 138-169 ◽  
Author(s):  
Ilze Black ◽  
Graham White
Keyword(s):  
Air Quality ◽  
Internet Of Things ◽  
Citizen Science ◽  
Quality Measurement ◽  
The Internet ◽  
Health Issues ◽  
Collective Sensing ◽  
The Internet Of Things ◽  
Science Initiative

This chapter discusses the emergence of the Internet of Things, using a case study of a citizen science initiative, focusing in particular on issues involved in measuring air quality. The core of the citizen science initiative was formed by a world-wide network of early adaptors of the Internet of Things who, motivated by public health issues, set out to create widely available tools for air quality measuring. With these tools, they established a global, citizen-led, air quality measurement network. Besides highlighting a number of social and technological issues which are involve any such enterprise, this chapter engages with the discourse surrounding the use of IoT in collective sensing projects. Two questions are salient here. Firstly, can IoT technology be used in a citizen science context to monitor air quality? And secondly, does the construction of these devices lead to a successful mobilisation around issues of air quality?

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