Team Formation Strategies in a Dynamic Large-Scale Environment

2008 ◽  
pp. 92-106
Author(s):  
Chris L. D. Jones ◽  
K. Suzanne Barber
Keyword(s):  
Large Scale ◽  
Team Formation

scholarly journals Exact and Heuristic Methods for Observing Task-Oriented Satellite Cluster Agent Team Formation

2018 ◽  
Vol 2018 ◽  
pp. 1-23 ◽  
Author(s):  
Hao Chen ◽  
Shu Yang ◽  
Jun Li ◽  
Ning Jing
Keyword(s):  
Large Scale ◽  
Search Algorithm ◽  
Low Cost ◽  
Team Formation ◽  
Satellite Systems ◽  
Heuristic Search Algorithm ◽  
Earth Observation Satellite ◽  
Novel Algorithms ◽  
Swarm Intelligence Optimization ◽  
Task Oriented

With the development of aerospace science and technology, Earth Observation Satellite cluster which consists of heterogeneous satellites with many kinds of payloads appears gradually. Compared with the traditional satellite systems, satellite cluster has some particular characteristics, such as large-scale, heterogeneous satellite platforms, various payloads, and the capacity of performing all the observation tasks. How to select a subset from satellite cluster to perform all observation tasks effectively with low cost is a new challenge arousing in the field of aerospace resource scheduling. This is the agent team formation problem for observation task-oriented satellite cluster. A mathematical scheduling model is built. Three novel algorithms, i.e., complete search algorithm, heuristic search algorithm, and swarm intelligence optimization algorithm, are proposed to solve the problem in different scales. Finally, some experiments are conducted to validate the effectiveness and practicability of our algorithms.

scholarly journals Benefits and Challenges of Adopting SAFe - An Empirical Survey

2021 ◽  
pp. 172-187
Author(s):  
Abheeshta Putta ◽  
Ömer Uludağ ◽  
Maria Paasivaara ◽  
Shun-Long Hong
Keyword(s):  
Large Scale ◽  
Empirical Studies ◽  
Change Resistance ◽  
Team Formation ◽  
Agile Methods ◽  
Empirical Survey ◽  
Business Environments ◽  
Agile Practices ◽  
Dependency Management ◽  
Agile Teams

AbstractDuring the last two decades, turbulent business environments tempted firms to adopt agile methods to cope with the ever-changing customer demands. The success of agile methods in small and co-located teams inspired companies to apply them to large-scale endeavors. Agile scaling frameworks, such as the Scaled Agile Framework (SAFe), have been proposed by practitioners to scale agile practices to large projects and enterprises. Companies are increasingly taking these frameworks into use. However, the number of quantitative empirical studies assessing the benefits and challenges of adopting the agile scaling frameworks is still limited. This paper starts filling in this gap by presenting the results from a survey of 100 industry participants around the world on their perception of the benefits and challenges of adopting the SAFe framework. Our results show that the SAFe adoption improves transparency, as well as collaboration and dependency management between agile teams. The most commonly mentioned challenges of the SAFe adoption are organizational politics, difficulties in establishing an agile mindset, change resistance, and team formation challenges.

scholarly journals A novel state space reduction algorithm for team formation in social networks

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0259786
Author(s):  
Muhammad Zubair Rehman ◽  
Kamal Z. Zamli ◽  
Mubarak Almutairi ◽  
Haruna Chiroma ◽  
Muhammad Aamir ◽  
...  
Keyword(s):  
Social Networks ◽  
Large Scale ◽  
Large Data ◽  
Cost Effective ◽  
Communication Cost ◽  
Team Formation ◽  
Graph Reduction ◽  
Effective Teams ◽  
Space Reduction ◽  
Benchmark Datasets

Team formation (TF) in social networks exploits graphs (i.e., vertices = experts and edges = skills) to represent a possible collaboration between the experts. These networks lead us towards building cost-effective research teams irrespective of the geolocation of the experts and the size of the dataset. Previously, large datasets were not closely inspected for the large-scale distributions & relationships among the researchers, resulting in the algorithms failing to scale well on the data. Therefore, this paper presents a novel TF algorithm for expert team formation called SSR-TF based on two metrics; communication cost and graph reduction, that will become a basis for future TF’s. In SSR-TF, communication cost finds the possibility of collaboration between researchers. The graph reduction scales the large data to only appropriate skills and the experts, resulting in real-time extraction of experts for collaboration. This approach is tested on five organic and benchmark datasets, i.e., UMP, DBLP, ACM, IMDB, and Bibsonomy. The SSR-TF algorithm is able to build cost-effective teams with the most appropriate experts–resulting in the formation of more communicative teams with high expertise levels.

Some comments about observations and image processing of comet 29P/Schwassmann-Wachmann 1

1999 ◽  
Vol 173 ◽  
pp. 243-248
Author(s):  
D. Kubáček ◽  
A. Galád ◽  
A. Pravda
Keyword(s):  
Image Processing ◽  
Large Scale ◽  
Harvard College ◽  
Oak Ridge ◽  
Large Scale Structures ◽  
Short Period Comet ◽  
Short Period ◽  
Scale Structures ◽  
Harvard College Observatory ◽  
Period Comet

AbstractUnusual short-period comet 29P/Schwassmann-Wachmann 1 inspired many observers to explain its unpredictable outbursts. In this paper large scale structures and features from the inner part of the coma in time periods around outbursts are studied. CCD images were taken at Whipple Observatory, Mt. Hopkins, in 1989 and at Astronomical Observatory, Modra, from 1995 to 1998. Photographic plates of the comet were taken at Harvard College Observatory, Oak Ridge, from 1974 to 1982. The latter were digitized at first to apply the same techniques of image processing for optimizing the visibility of features in the coma during outbursts. Outbursts and coma structures show various shapes.

Evolution of Large-Scale Coronal Structures

1994 ◽  
Vol 144 ◽  
pp. 29-33
Author(s):  
P. Ambrož
Keyword(s):  
Magnetic Field ◽  
Field Line ◽  
Large Scale ◽  
Coronal Magnetic Field ◽  
Source Surface ◽  
Solar Cycles ◽  
Characteristic Relationship ◽  
The Magnetic Field ◽  
Coronal Structures

AbstractThe large-scale coronal structures observed during the sporadically visible solar eclipses were compared with the numerically extrapolated field-line structures of coronal magnetic field. A characteristic relationship between the observed structures of coronal plasma and the magnetic field line configurations was determined. The long-term evolution of large scale coronal structures inferred from photospheric magnetic observations in the course of 11- and 22-year solar cycles is described.Some known parameters, such as the source surface radius, or coronal rotation rate are discussed and actually interpreted. A relation between the large-scale photospheric magnetic field evolution and the coronal structure rearrangement is demonstrated.

Large-scale Motion of Solar Filaments

2000 ◽  
Vol 179 ◽  
pp. 205-208
Author(s):  
Pavel Ambrož ◽  
Alfred Schroll
Keyword(s):  
Magnetic Flux ◽  
Proper Motion ◽  
Time Scale ◽  
Large Scale ◽  
Accuracy Of Measurements ◽  
Solar Filaments ◽  
General Movement ◽  
Scale Motion ◽  
Velocity Scatter

AbstractPrecise measurements of heliographic position of solar filaments were used for determination of the proper motion of solar filaments on the time-scale of days. The filaments have a tendency to make a shaking or waving of the external structure and to make a general movement of whole filament body, coinciding with the transport of the magnetic flux in the photosphere. The velocity scatter of individual measured points is about one order higher than the accuracy of measurements.

Sign in / Sign up

Export Citation Format

Share Document