Adaptive monitoring: using citizen scientists to track wolf populations when winter-track counts become unreliable

2020 ◽  
Author(s):  
Linas Balčiauskas ◽  
Laima Balčiauskienė ◽  
John A. Litvaitis ◽  
Eugenijus Tijušas
Keyword(s):  
Adaptive Monitoring ◽  
Track Counts

An Adaptive Monitoring Service Exploiting Data Correlations in Fog Computing

2019 ◽  
pp. 383-389
Author(s):  
Monica Vitali ◽  
Xuesong Peng ◽  
Barbara Pernici
Keyword(s):  
Fog Computing ◽  
Adaptive Monitoring ◽  
Data Correlations ◽  
Monitoring Service

scholarly journals АДАПТИВНИЙ МОНІТОРИНГ СТРАТЕГІЙ ФОРМУВАННЯ АНТИКРИЗОВОГО ПОТЕНЦІАЛУ

2019 ◽  
Vol 131 (1) ◽  
pp. 39-48
Author(s):  
Сергій Олегович Ареф’єв
Keyword(s):  
Adaptive Management ◽  
Environmental Sustainability ◽  
Management Practices ◽  
Raw Materials ◽  
Management Strategies ◽  
Utilization Efficiency ◽  
Corporate Structure ◽  
Local Case ◽  
Adaptive Monitoring ◽  
Wide Range

The paper covers the current issues of counteraction to constantly arising crisis phenomena in the process of using the enterprise potential. For about 15 years the efforts to comply with legislation have been steadily rising, and more and more emphasis is paid to various aspects of corporate social responsibility. There is a wide range of activities, such as increasing employee awareness, creating a management system to prevent abrupt changeover, a solid corporate structure and timely disclosure of information, as well as managing the organization as an integration of its potentials. Adaptive monitoring is viewed as a critical component in finding and controlling the reserves for further utilization of enterprise resources in the context of developing its long-term strategies. Building the subsystems for change management strategies can form the basis for creating anti-crisis potential. However, there is another barrier to the process of adaptation which is a vulnerable internal environment. Apparently, the goals of the chosen strategies in each of the business areas are not always announced, and this can increase the entropy level within the enterprise, creating threats and hazards that give rise to crisis phenomena. From a dynamic perception, adaptive management concept involves the construction of a decomposition of its possible implementation scenarios subject to the type of threats to enterprise performance and characteristics of its potentials. The search for the development models that can retain the enterprise resources is a fundamental challenge for its operation in the future. It is about facilitating the transition from product economy to the system economy, from a dissipative approach to resources to an adaptive management practices, to a cultural leap towards economic and environmental sustainability that should affect the entire society, from strengthening of the territory and cooperation among all stakeholders to gain the resource utilization efficiency beyond renewable energy, starting with raw materials and local waste management to create an integrated technology network and from a number of integrated technologies, from deindustrialized territories reconstruction towards new relationships between agriculture, industry and academia, conducting local case studies to test the effects of innovations, thus boosting the process of transforming the research results into new pilot projects.

scholarly journals A CPPS based on GBDT for predicting failure events in milling

2020 ◽  
Vol 111 (1-2) ◽  
pp. 341-357
Author(s):  
Y. Zhang ◽  
X. Beudaert ◽  
J. Argandoña ◽  
S. Ratchev ◽  
J. Munoa
Keyword(s):  
Production Systems ◽  
Principal Component ◽  
Milling Process ◽  
Gradient Boosting ◽  
Digital Information ◽  
Mechatronic Systems ◽  
Predictive Tool ◽  
Adaptive Monitoring ◽  
Traditional Manufacturing ◽  
Cyber Physical Production Systems

Abstract Cyber-physical production systems (CPPS) are mechatronic systems monitored and controlled by software brains and digital information. Despite its fast development along with the advancement of Industry 4.0 paradigms, an adaptive monitoring system remains challenging when considering integration with traditional manufacturing factories. In this paper, a failure predictive tool is developed and implemented. The predictive mechanism, underpinned by a hybrid model of the dynamic principal component analysis and the gradient boosting decision trees, is capable of anticipating the production stop before one occurs. The proposed methodology is implemented and experimented on a repetitive milling process hosted in a real-world CPPS hub. The online testing results have shown the accuracy of the predicted production failures using the proposed predictive tool is as high as 73% measured by the AUC score.

Effectiveness of the Felixer grooming trap for the control of feral cats: a field trial in arid South Australia

2020 ◽  
Vol 47 (8) ◽  
pp. 599
Author(s):  
K. E. Moseby ◽  
H. McGregor ◽  
J. L. Read
Keyword(s):  
Field Trial ◽  
South Australia ◽  
Camera Traps ◽  
Specific Method ◽  
Density Estimates ◽  
Live Prey ◽  
Feral Cats ◽  
Before And After ◽  
Remote Camera ◽  
Track Counts

Abstract ContextFeral cats pose a significant threat to wildlife in Australia and internationally. Controlling feral cats can be problematic because of their tendency to hunt live prey rather than be attracted to food-based lures. The Felixer grooming trap was developed as a targeted and automated poisoning device that sprays poison onto the fur of a passing cat, relying on compulsive grooming for ingestion. AimsWe conducted a field trial to test the effectiveness of Felixers in the control of feral cats in northern South Australia where feral cats were present within a 2600-ha predator-proof fenced paddock. MethodsTwenty Felixers were set to fire across vehicle tracks and dune crossings for 6 weeks. Cat activity was recorded using track counts and grids of remote camera traps set within the Felixer Paddock and an adjacent 3700-ha Control Paddock where feral cats were not controlled. Radio-collars were placed on six cats and spatial mark–resight models were used to estimate population density before and after Felixer deployment. Key resultsNone of the 1024 non-target objects (bettongs, bilbies, birds, lizards, humans, vehicles) that passed a Felixer during the trial was fired on, confirming high target specificity. Thirty-three Felixer firings were recorded over the 6-week trial, all being triggered by feral cats. The only two radio-collared cats that triggered Felixers during the trial, died. Two other radio-collared cats appeared to avoid Felixer traps possibly as a reaction to previous catching and handling rendering them neophobic. None of the 22 individually distinguishable cats targeted by Felixers was subsequently observed on cameras, suggesting death after firing. Felixer data, activity and density estimates consistently indicated that nearly two-thirds of the cat population was killed by the Felixers during the 6-week trial. ConclusionsResults suggest that Felixers are an effective, target-specific method of controlling feral cats, at least in areas in which immigration is prevented. The firing rate of Felixers did not decline significantly over time, suggesting that a longer trial would have resulted in a higher number of kills. ImplicationsFuture studies should aim to determine the trade-off between Felixer density and the efficacy relative to reinvasion.

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