Conservation of Information (COI)

2012 ◽  
pp. 1146-1167
Author(s):  
Max E. Stachura ◽  
Elena V. Astapova ◽  
Hui-Lien Tung ◽  
Donald A. Sofge ◽  
James Grayson ◽  
...  

The authors review telemedicine and e-health from an organizational perspective. To evaluate their effectiveness, they review organizational and system theory along with field and laboratory results. Theory of the conservation of information (COI) provides the means to study tradeoffs across space and over time as telemedicine and e-health management make operational decisions for virtual communities users. With the authors’ three case studies, they evaluate COI for telemedicine and e-health networks operating in the state of Georgia. After analyzing the case studies with COI, the authors close with a review of future trends that includes an interaction rate equation, an agent-based model (ABM) using natural selection (machine learning), and a Monte Carlo simulation of return on investments (ROI).

Author(s):  
Max E. Stachura ◽  
Elena V. Astapova ◽  
Hui-Lien Tung ◽  
Donald A. Sofge ◽  
James Grayson ◽  
...  

The authors review telemedicine and e-health from an organizational perspective. To evaluate their effectiveness, they review organizational and system theory along with field and laboratory results. Theory of the conservation of information (COI) provides the means to study tradeoffs across space and over time as telemedicine and e-health management make operational decisions for virtual communities users. With the authors’ three case studies, they evaluate COI for telemedicine and e-health networks operating in the state of Georgia. After analyzing the case studies with COI, the authors close with a review of future trends that includes an interaction rate equation, an agent-based model (ABM) using natural selection (machine learning), and a Monte Carlo simulation of return on investments (ROI).


2011 ◽  
pp. 428-438
Author(s):  
M. Mari ◽  
A. Poggi ◽  
M. Tomaiuolo

Virtual communities represent the gathering of people, in an online “space” where they come, communicate, connect, and get to know each other better over time. Virtual communities can be created for different purposes moving from the simple socialization among people to the collaboration among remote people working on shared projects.


Author(s):  
M. Mari ◽  
A. Poggi ◽  
M. Tomaiuolo

Virtual communities represent the gathering of people, in an online “space” where they come, communicate, connect, and get to know each other better over time. Virtual communities can be created for different purposes moving from the simple socialization among people to the collaboration among remote people working on shared projects.


2020 ◽  
Vol 14 ◽  
Author(s):  
Dangbo Du ◽  
Jianxun Zhang ◽  
Xiaosheng Si ◽  
Changhua Hu

Background: Remaining useful life (RUL) estimation is the central mission to the complex systems’ prognostics and health management. During last decades, numbers of developments and applications of the RUL estimation have proliferated. Objective: As one of the most popular approaches, stochastic process-based approach has been widely used for characterizing the degradation trajectories and estimating RULs. This paper aimed at reviewing the latest methods and patents on this topic. Methods: The review is concentrated on four common stochastic processes for degradation modelling and RUL estimation, i.e., Gamma process, Wiener process, inverse Gaussian process and Markov chain. Results: After a briefly review of these four models, we pointed out the pros and cons of them, as well as the improvement direction of each method. Conclusion: For better implementation, the applications of these four approaches on maintenance and decision-making are systematically introduced. Finally, the possible future trends are concluded tentatively.


Author(s):  
Ritu Khandelwal ◽  
Hemlata Goyal ◽  
Rajveer Singh Shekhawat

Introduction: Machine learning is an intelligent technology that works as a bridge between businesses and data science. With the involvement of data science, the business goal focuses on findings to get valuable insights on available data. The large part of Indian Cinema is Bollywood which is a multi-million dollar industry. This paper attempts to predict whether the upcoming Bollywood Movie would be Blockbuster, Superhit, Hit, Average or Flop. For this Machine Learning techniques (classification and prediction) will be applied. To make classifier or prediction model first step is the learning stage in which we need to give the training data set to train the model by applying some technique or algorithm and after that different rules are generated which helps to make a model and predict future trends in different types of organizations. Methods: All the techniques related to classification and Prediction such as Support Vector Machine(SVM), Random Forest, Decision Tree, Naïve Bayes, Logistic Regression, Adaboost, and KNN will be applied and try to find out efficient and effective results. All these functionalities can be applied with GUI Based workflows available with various categories such as data, Visualize, Model, and Evaluate. Result: To make classifier or prediction model first step is learning stage in which we need to give the training data set to train the model by applying some technique or algorithm and after that different rules are generated which helps to make a model and predict future trends in different types of organizations Conclusion: This paper focuses on Comparative Analysis that would be performed based on different parameters such as Accuracy, Confusion Matrix to identify the best possible model for predicting the movie Success. By using Advertisement Propaganda, they can plan for the best time to release the movie according to the predicted success rate to gain higher benefits. Discussion: Data Mining is the process of discovering different patterns from large data sets and from that various relationships are also discovered to solve various problems that come in business and helps to predict the forthcoming trends. This Prediction can help Production Houses for Advertisement Propaganda and also they can plan their costs and by assuring these factors they can make the movie more profitable.


Author(s):  
Leonardo B. Furstenau ◽  
Bruna Rabaioli ◽  
Michele Kremer Sott ◽  
Danielli Cossul ◽  
Mariluza Sott Bender ◽  
...  

The COVID-19 pandemic has affected all aspects of society. Researchers worldwide have been working to provide new solutions to and better understanding of this coronavirus. In this research, our goal was to perform a Bibliometric Network Analysis (BNA) to investigate the strategic themes, thematic evolution structure and trends of coronavirus during the first eight months of COVID-19 in the Web of Science (WoS) database in 2020. To do this, 14,802 articles were analyzed, with the support of the SciMAT software. This analysis highlights 24 themes, of which 11 of the more important ones were discussed in-depth. The thematic evolution structure shows how the themes are evolving over time, and the most developed and future trends of coronavirus with focus on COVID-19 were visually depicted. The results of the strategic diagram highlight ‘CHLOROQUINE’, ‘ANXIETY’, ‘PREGNANCY’ and ‘ACUTE-RESPIRATORY-SYNDROME’, among others, as the clusters with the highest number of associated citations. The thematic evolution. structure presented two thematic areas: “Damage prevention and containment of COVID-19” and “Comorbidities and diseases caused by COVID-19”, which provides new perspectives and futures trends of the field. These results will form the basis for future research and guide decision-making in coronavirus focused on COVID-19 research and treatments.


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