scholarly journals Impact of Modeling Production Knowledge for a Data Based Prediction of Transition Times

2019 ◽  
pp. 341-348
Author(s):  
Günther Schuh ◽  
Jan-Philipp Prote ◽  
Philipp Hünnekes ◽  
Frederick Sauermann ◽  
Lukas Stratmann
Keyword(s):  
Transition Times ◽  
Production Knowledge

Transition Times in Memory

2018 ◽  
Author(s):  
Donatella della Porta ◽  
Massimiliano Andretta ◽  
Tiago Fernandes ◽  
Eduardo Romanos ◽  
Markos Vogiatzoglou
Keyword(s):  
Theoretical Model ◽  
Social Movement ◽  
Transition Period ◽  
Two Dimensions ◽  
Democratic Regime ◽  
Organizational Models ◽  
Different Types ◽  
Transition Times ◽  
Movement Participation

The second chapter covers the main characteristics of transition time in the four countries: Italy, Greece, Spain, and Portugal. After developing the theoretical model on paths of transition, with a focus on social movement participation, the chapter looks at social movements and protest events as turning points during transition, covering in particular the specific movement actors, their organizational models, and their repertoires of action and frames. The chapter focuses on two dimensions: the role of mobilization in the transition period, which implies the analysis of how elites and masses interact, ally, or fight with each other in the process, and the outcome of transitions as continuity versus rupture of the democratic regime vis-à-vis the old one. It concludes by elaborating some hypotheses on how different modes of transition may produce different types and uses of (transition) memories.

Maintaining professional competence in innovation organizations*

1998 ◽  
Vol 17 (1) ◽  
pp. 69-87
Author(s):  
Khalid Saeed
Keyword(s):  
Organizational Design ◽  
Professional Competence ◽  
Formal Model ◽  
Professional Services ◽  
Market Forces ◽  
Governance System ◽  
Environmental Support ◽  
Entry Points ◽  
Production Knowledge ◽  
High Level

Public organizations involved in planning and implementation of developmental activity, education, research and development, as well as private firms delivering professional services and operating in a rapidly changing socio-economic environment are often concerned mainly with innovation, problem-solving and learning rather than with the production of any tangible outputs. The income streams of such organizations also often stem from environmental support rather than from a sale of widgets. Sustaining developmental activity in part requires maintaining such organizations at a high level of productivity, which calls for special design considerations that this paper attempts to delineate. A formal model of the production, knowledge acquisition and governance functions of an innovation organization is developed and experimented with through computer simulation using the heuristical approach of system dynamics. The analysis suggests that professional competence in organizations may atrophy, eventually leading to their demise, due to the development of a governance system that is largely driven by manifest authority, unless a concerted effort is made to preserve collegial decision roles. In terms of organizational design, this translates into considering constituents other than those used normally for creating mechanistic and organic components of organizational structure. Since professional competence often emanates from collegial rather than manifest processes, an important aspect of the design is to sustain collegial roles. Since collegial roles are undefined, their maintenance calls for placing constraints on manifest roles with prolific expansion potential. A promising design constituent for sustaining an appropriate governance system for an innovation organization appears to be a chartering process that should create an organizational magna carta clearly stating the limitations of the manifest roles. Other possible entry points into the system, albeit external, include bringing in leadership perspectives and linking with market forces that should allow the curtailment of prolific expansion of manifest roles.

scholarly journals Adaptive Method for Modeling of Temporal Dependencies between Fields of Vision in Multi-Camera Surveillance Systems

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1303
Author(s):  
Karol Lisowski ◽  
Andrzej Czyżewski
Keyword(s):  
Statistical Data ◽  
Input Parameter ◽  
Gaussian Mixture ◽  
Adaptive Method ◽  
Transition Time ◽  
Surveillance Systems ◽  
Modified Particle Swarm Optimization ◽  
Novel Approach ◽  
Transition Times ◽  
Temporal Dependencies

A method of modeling the time of object transition between given pairs of cameras based on the Gaussian Mixture Model (GMM) is proposed in this article. Temporal dependencies modeling is a part of object re-identification based on the multi-camera experimental framework. The previously utilized Expectation-Maximization (EM) approach, requiring setting the number of mixtures arbitrarily as an input parameter, was extended with the algorithm that automatically adapts the model to statistical data. The probabilistic model was obtained by matching to the histogram of transition times between a particular pair of cameras. The proposed matching procedure uses a modified particle swarm optimization (mPSO). A way of using models of transition time in object re-identification is also presented. Experiments with the proposed method of modeling the transition time were carried out, and a comparison between previous and novel approach results are also presented, revealing that added swarms approximate normalized histograms very effectively. Moreover, the proposed swarm-based algorithm allows for modelling the same statistical data with a lower number of summands in GMM.

scholarly journals Event Matching Classification Method for Non-Intrusive Load Monitoring

2021 ◽  
Vol 13 (2) ◽  
pp. 693
Author(s):  
Elnaz Azizi ◽  
Mohammad T. H. Beheshti ◽  
Sadegh Bolouki
Keyword(s):  
Energy Management ◽  
Low Frequency ◽  
Training Dataset ◽  
Mode Transition ◽  
Smart Meters ◽  
Available Energy ◽  
Consumption Values ◽  
Load Monitoring ◽  
Transition Times ◽  
Event Based

Nowadays, energy management aims to propose different strategies to utilize available energy resources, resulting in sustainability of energy systems and development of smart sustainable cities. As an effective approach toward energy management, non-intrusive load monitoring (NILM), aims to infer the power profiles of appliances from the aggregated power signal via purely analytical methods. Existing NILM methods are susceptible to various issues such as the noise and transient spikes of the power signal, overshoots at the mode transition times, close consumption values by different appliances, and unavailability of a large training dataset. This paper proposes a novel event-based NILM classification algorithm mitigating these issues. The proposed algorithm (i) filters power signals and accurately detects all events; (ii) extracts specific features of appliances, such as operation modes and their respective power intervals, from their power signals in the training dataset; and (iii) labels with high accuracy each detected event of the aggregated signal with an appliance mode transition. The algorithm is validated using REDD with the results showing its effectiveness to accurately disaggregate low-frequency measured data by existing smart meters.

scholarly journals Sparking Manufacturing Innovation: How Temporary Interplant Assignments Increase Employee Idea Values

2020 ◽  
Author(s):  
Philipp B. Cornelius ◽  
Bilal Gokpinar ◽  
Fabian J. Sting
Keyword(s):  
Operations Management ◽  
Learning By Doing ◽  
Shop Floor ◽  
Manufacturing Plants ◽  
Level Data ◽  
Manufacturing Innovation ◽  
Econometric Tests ◽  
Production Knowledge ◽  
Productivity Gains

Shop-floor employees play a key role in manufacturing innovation. In some companies, up to 75% of all productivity gains are the result of bottom-up employee ideas. In this paper, we examine how employee interplant assignments—short problem-solving jobs at other manufacturing plants within the same firm—influence employee-driven manufacturing innovation. Using unique idea-level data from a large European car parts manufacturer, we show that interplant assignments significantly increase the value of employees’ improvement ideas due to the short-term transfer of production knowledge and long-term employee learning. Both effects are amplified by assignments to plants that have high functional overlap (i.e., plants producing similar products using similar processes and machinery). One implication is that, for the purpose of employee-driven manufacturing innovation, assignments between peripheral plants with high functional overlap can be more effective than assignments to and from central plants. These findings are robust to several econometric tests. Our study provides novel and detailed empirical evidence of manufacturing innovation, and goes beyond previous research on the learning curve (learning by doing) by investigating how interplant assignments affect the value of employees’ improvement ideas (learning by moving). This paper was accepted by Charles J. Corbett, operations management.

scholarly journals Databased prediction and planning of order-specific transition times

Procedia CIRP ◽  
2020 ◽  
Vol 93 ◽  
pp. 885-890
Author(s):  
Günther Schuh ◽  
Andreas Gützlaff ◽  
Frederick Sauermann ◽  
Oliver Kaul ◽  
Nicolas Klein
Keyword(s):  
Transition Times

scholarly journals Species Composition of Thrips (Thysanoptera: Thripidae) in Strawberry High Tunnels in Denmark

Insects ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 208
Author(s):  
Helene Nielsen ◽  
Lene Sigsgaard ◽  
Sverre Kobro ◽  
Nauja L. Jensen ◽  
Stine K. Jacobsen
Keyword(s):  
Biological Control ◽  
Species Composition ◽  
Thrips Tabaci ◽  
Field Margins ◽  
Thrips Species ◽  
High Tunnels ◽  
Major Pest ◽  
Production Knowledge ◽  
Sampling Times

Thrips are a major pest in protected strawberry production. Knowledge of thrips species composition could be instrumental for improved thrips management, but very little is known about which species are present in strawberries grown in high-tunnels in Denmark. Thrips (adults and larvae) were sampled in two strawberry tunnels of the cultivars Murano and Furore from May to August 2018, in the middle and in the edges of the tunnels. The most abundant thrips species found in the tunnels were Frankliniella intonsa and Thrips tabaci adults. Frankliniella intonsa were also the most frequently found species of the immatures sampled, followed by T. tabaci larvae, and other species. The number of thrips differed between the two cultivars, sampling times and location in the tunnel. Frankliniella intonsa was more abundant in the middle of the tunnels, while T. tabaci was more abundant in the edge of the tunnels adjacent to the field margins. The number of thrips peaked by the end of July. Both chemical and biological control should consider species composition and occurrence; hence, a fundamental first step for thrips management is to identify the species present on the target crop.

Covid-19: Interdisciplinary Explorations of Impacts on Higher Education

2021 ◽  
Keyword(s):  
Higher Education ◽  
South African ◽  
Teaching And Learning ◽  
Academic Disciplines ◽  
Research And Innovation ◽  
Innovation Activities ◽  
African Higher Education ◽  
Production Knowledge ◽  
South African Higher Education ◽  
The Impact

Premised on the disruption and lessons learnt from the Covid-19 pandemic, and in meticulous response to the impact of the pandemic on higher education – especially in South Africa – this collection of chapters spotlights the effects, consequences, and ramifications of an unprecedented pandemic in the areas of knowledge production, knowledge transfer and innovation. With the pandemic, the traditional way of teaching and learning was completely upended. It is within this context that this book presents interdisciplinary perspectives that focus on what the impact of Covid-19 implies for higher education institutions. Contributors have critically reflected from within their specific academic disciplines in their attempt to proffer solutions to the disruptions brought to the South African higher education space. Academics and education leaders have particularly responded to the objective of this book by focusing on how the academia could tackle the Covid-19 motivated disruption and resuscitate teaching, research, and innovation activities in South African higher education, and the whole of Africa by extension.

Sign in / Sign up

Export Citation Format

Share Document