scholarly journals When I Look into Your Eyes: A Survey on Computer Vision Contributions for Human Gaze Estimation and Tracking

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3739 ◽  
Author(s):  
Dario Cazzato ◽  
Marco Leo ◽  
Cosimo Distante ◽  
Holger Voos
Keyword(s):  
Computer Vision ◽  
Deep Neural Networks ◽  
Scientific Literature ◽  
Point Of View ◽  
Temporal Consistency ◽  
Gaze Tracking ◽  
Third Person ◽  
Pros And Cons ◽  
Survey Review ◽  
Application Fields

The automatic detection of eye positions, their temporal consistency, and their mapping into a line of sight in the real world (to find where a person is looking at) is reported in the scientific literature as gaze tracking. This has become a very hot topic in the field of computer vision during the last decades, with a surprising and continuously growing number of application fields. A very long journey has been made from the first pioneering works, and this continuous search for more accurate solutions process has been further boosted in the last decade when deep neural networks have revolutionized the whole machine learning area, and gaze tracking as well. In this arena, it is being increasingly useful to find guidance through survey/review articles collecting most relevant works and putting clear pros and cons of existing techniques, also by introducing a precise taxonomy. This kind of manuscripts allows researchers and technicians to choose the better way to move towards their application or scientific goals. In the literature, there exist holistic and specifically technological survey documents (even if not updated), but, unfortunately, there is not an overview discussing how the great advancements in computer vision have impacted gaze tracking. Thus, this work represents an attempt to fill this gap, also introducing a wider point of view that brings to a new taxonomy (extending the consolidated ones) by considering gaze tracking as a more exhaustive task that aims at estimating gaze target from different perspectives: from the eye of the beholder (first-person view), from an external camera framing the beholder’s, from a third-person view looking at the scene where the beholder is placed in, and from an external view independent from the beholder.

Geopolitics of Energy

2016 ◽  
Vol 3 (1) ◽  
pp. 78
Author(s):  
Blerina Muskaj
Keyword(s):  
Natural Gas ◽  
Qualitative Methodology ◽  
Scientific Literature ◽  
Point Of View ◽  
Energy Market ◽  
Energy Potential ◽  
Environmental Consequences ◽  
Regional Energy ◽  
Political Debates ◽  
Political Weapon

At the beginning of my paper I will explain the concept of "Geopolitics of Energy", this will be done for a quite simple reason, because I want everyone who can sit to read this article to understand more clearly what is at stake, therefore allow them the comprehension of what is being elaborated bellow at first sight. Geopolitics of energy is a concept that relates to policies choosing exporters to implement on importers, is the policy that has an impact on energy consumption, which includes consumer’s choice in the geopolitical context, taking into account the economy, foreign policy, the safety of energy, environmental consequences and priorities that carries the energy exporter. This concept permits the understanding of how works the politics that undertakes this initiative taking into account natural resources such as: natural gas and oil. Natural gas and oil are two main resources that produce energy but also two main elements on which arises all the topic in the energetics game. For this paper is used qualitative methodology, through which we were able to accomplish this work. I focused on scientific literature, official publications and reports on energy geopolitics. The main aim has been to show how in this decade, energy security is at the center of geopolitical agenda and has become the focus of numerous political debates. Regarding this point of view, Europe is taking the initiative to create a common energy market within the continent by creating projects, in which Albania appears as a new regional energy potential. Russia, which is aiming to play a role in the international arena, is seeking to position itself geopolitically in "its political weapon", hydrocarbon resources, in particular natural gas resources.

To the Question of the Classification Patterns of Social Stratification in the Countries of the World (Brief Overview of Some Concepts and Author’s Comment)

2020 ◽  
pp. 65-75
Author(s):  
S. N. Smirnov
Keyword(s):  
Social Sciences ◽  
Social Stratification ◽  
Legal Status ◽  
Scientific Literature ◽  
Point Of View ◽  
The World

The author considers the problems of typification of society. Some concepts of typification of social stratification models in different countries formulated and justified in historical and legal, historical, sociological, and economic scientific literature are reviewed. The circumstances that make it difficult to formulate universal concepts designed for application in the complex of social Sciences are identified. These circumstances include insufficient consideration of legal factors, including the position of the legislator, the specifics of the corporate legal status, and the characteristics of the mechanism for changing individual legal status. The author offers a variant of classification of society types from the point of view of legal registration of their structure. The possibility of distinguishing types such as consolidated companies and segmented companies is justified.

Design process for serious activities inspired by play and games: a problem solving with a board game from disengamement and gamification processes (Preprint)

2020 ◽  
Author(s):  
Stéphane Goria ◽  
Louise Dupet ◽  
Maëva Négroni ◽  
Gabriel Sega ◽  
Philippe Arnoux ◽  
...  
Keyword(s):  
Cancer Detection ◽  
Serious Games ◽  
Diagnostic Method ◽  
Scientific Literature ◽  
Imaging Techniques ◽  
Point Of View ◽  
Board Game ◽  
Advantages And Disadvantages ◽  
Design Result

BACKGROUND most serious games and other game-based tools are designed as digital games or escape games. They are designed for learning or sometimes in the field of medicine as an aid to care. However, they can also be seen as an aid to research, in our case, to evaluate the advantages and disadvantages of imaging techniques for cancer detection. OBJECTIVE we present a case study of action research on the design of a serious board game intended to consider the advantages and weaknesses of a diagnostic method in a different ways. The goal was to better understand the principles of designing a tool using game or play. METHODS we explicitly implemented another process than gamification to develop a structure reminiscent of the game to highlight the strengths and weaknesses of different imaging techniques from the point of view of the respondents (in this case specialists not directly involved in the project). Based on this feedback and the scientific literature on this subject, we detail the main categories of games and games developed for serious use in order to understand their differences. Concerning the cancer research part to which game contributes, our method is based on questions asked to experts and practitioners of this specialty. RESULTS an expert point of view translation tool in the form of a game has been realized to apprehend a research in a different way. CONCLUSIONS we show with the help of a diagram, some possible design paths leading to this type of design result including two hidden dimensions to consider (the awareness of the game or play by the "player" and his role as a contributor or recipient).

scholarly journals The Difficult alliance. Military cooperation between the ruthenian king Daniel and the Piasts of Mazovia

2020 ◽  
Vol 1 (1) ◽  
pp. 104-112
Author(s):  
Michał Skoczyński
Keyword(s):  
Scientific Literature ◽  
Point Of View ◽  
Armed Conflicts ◽  
The Other ◽  
Political Strategy ◽  
Military Cooperation ◽  
Historical Sources ◽  
Other Hand ◽  
Historical Methodology ◽  
The Military

Abstract The article presents the military cooperation between the King of Galician-Volhynian Ruthenia, Daniel Romanowicz, and the Dukes of Mazovia, Konrad and his son Siemowit. The alliance, based as a counterweight for the cooperation between the King of Hungary and the Piast princes of Lesser Poland, who were trying to conquer Ruthenia and dominate all Piast principalities in then fragmented Poland. It lasted for several decades from the 1220’s to the 1260’s and was primarly aimed at mutual protection against the invasions of the pagan Yotvingians and supporting each other in armed conflicts. The text contains an analysis of war expeditions, tactics and ways of support that were given by both sides of the allianace. It is a new point of view on this aspect of political strategy of both sides that in some ways defined the regional situation. Ruthenians granted masovian Piasts some mobile and political uncommited support in fight with their relatives in Poland, and also secured their border with the Yotvingians. On the other hand, masovian knights were an additional strike force in ruthenian plundering expeditions to Yotvingia. The research was based on the analysis of preserved historical sources and scientific literature using historical methodology.

scholarly journals Multi-Agent Reinforcement Learning: A Review of Challenges and Applications

2021 ◽  
Vol 11 (11) ◽  
pp. 4948
Author(s):  
Lorenzo Canese ◽  
Gian Carlo Cardarilli ◽  
Luca Di Di Nunzio ◽  
Rocco Fazzolari ◽  
Daniele Giardino ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Mathematical Models ◽  
Learning Algorithms ◽  
Single Agent ◽  
Critical Issues ◽  
Multi Agent ◽  
Pros And Cons ◽  
Application Fields

In this review, we present an analysis of the most used multi-agent reinforcement learning algorithms. Starting with the single-agent reinforcement learning algorithms, we focus on the most critical issues that must be taken into account in their extension to multi-agent scenarios. The analyzed algorithms were grouped according to their features. We present a detailed taxonomy of the main multi-agent approaches proposed in the literature, focusing on their related mathematical models. For each algorithm, we describe the possible application fields, while pointing out its pros and cons. The described multi-agent algorithms are compared in terms of the most important characteristics for multi-agent reinforcement learning applications—namely, nonstationarity, scalability, and observability. We also describe the most common benchmark environments used to evaluate the performances of the considered methods.

scholarly journals Single-cell conventional pap smear image classification using pre-trained deep neural network architectures

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Mohammed Aliy Mohammed ◽  
Fetulhak Abdurahman ◽  
Yodit Abebe Ayalew
Keyword(s):  
Neural Network ◽  
Cervical Cancer ◽  
Computer Vision ◽  
Single Cell ◽  
Deep Neural Network ◽  
Deep Neural Networks ◽  
Pap Smear ◽  
Experimental Result ◽  
Network Architectures ◽  
Average Accuracy

Abstract Background Automating cytology-based cervical cancer screening could alleviate the shortage of skilled pathologists in developing countries. Up until now, computer vision experts have attempted numerous semi and fully automated approaches to address the need. Yet, these days, leveraging the astonishing accuracy and reproducibility of deep neural networks has become common among computer vision experts. In this regard, the purpose of this study is to classify single-cell Pap smear (cytology) images using pre-trained deep convolutional neural network (DCNN) image classifiers. We have fine-tuned the top ten pre-trained DCNN image classifiers and evaluated them using five class single-cell Pap smear images from SIPaKMeD dataset. The pre-trained DCNN image classifiers were selected from Keras Applications based on their top 1% accuracy. Results Our experimental result demonstrated that from the selected top-ten pre-trained DCNN image classifiers DenseNet169 outperformed with an average accuracy, precision, recall, and F1-score of 0.990, 0.974, 0.974, and 0.974, respectively. Moreover, it dashed the benchmark accuracy proposed by the creators of the dataset with 3.70%. Conclusions Even though the size of DenseNet169 is small compared to the experimented pre-trained DCNN image classifiers, yet, it is not suitable for mobile or edge devices. Further experimentation with mobile or small-size DCNN image classifiers is required to extend the applicability of the models in real-world demands. In addition, since all experiments used the SIPaKMeD dataset, additional experiments will be needed using new datasets to enhance the generalizability of the models.

scholarly journals Off-the-shelf deep learning is not enough, and requires parsimony, Bayesianity, and causality

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Rama K. Vasudevan ◽  
Maxim Ziatdinov ◽  
Lukas Vlcek ◽  
Sergei V. Kalinin
Keyword(s):  
Neural Networks ◽  
Computer Vision ◽  
Deep Learning ◽  
Bayesian Methods ◽  
Deep Neural Networks ◽  
Applied Research ◽  
Modern Science ◽  
Generative Models ◽  
Knowledge Development ◽  
Physical Constraints

AbstractDeep neural networks (‘deep learning’) have emerged as a technology of choice to tackle problems in speech recognition, computer vision, finance, etc. However, adoption of deep learning in physical domains brings substantial challenges stemming from the correlative nature of deep learning methods compared to the causal, hypothesis driven nature of modern science. We argue that the broad adoption of Bayesian methods incorporating prior knowledge, development of solutions with incorporated physical constraints and parsimonious structural descriptors and generative models, and ultimately adoption of causal models, offers a path forward for fundamental and applied research.

Strengthening and widening of steel pony truss bridges

1977 ◽  
Vol 4 (2) ◽  
pp. 214-225
Author(s):  
Baidar Bakht ◽  
Paul F. Csagoly
Keyword(s):  
Traffic Safety ◽  
Carrying Capacity ◽  
Point Of View ◽  
Load Carrying Capacity ◽  
Truss Bridges ◽  
Load Carrying ◽  
Live Loads ◽  
Pros And Cons ◽  
Pony Truss Bridge ◽  
Truss Bridge

There are many thousands of existing pony truss bridges in North America which were constructed in the earlier part of this century and are still serving as important traffic carriers. The present economic situation demands that these bridges should usefully serve their purpose for as long as is safely possible.These bridges could be found inadequate for either or both of the following reasons. With the exception of remote areas, operational traffic safety would require two 12-ft lanes plus adequate shoulders. Many of these old bridges are therefore unsatisfactory from the geometrical point of view. Some bridges were designed for live loads that are only a fraction of present commercial vehicle weights.A computer-oriented method of rigorous analysis of lateral buckling behaviour of pony truss bridges is briefly discussed. The method is implemented through a computer program which has been validated by experimental data. It is expected that the program would predict realistic values of load-carrying capacity of such bridges and would help to avoid many an unnecessary replacement.Various methods of strengthening and widening pony truss bridges, and their pros and cons, are discussed. It is shown that the strengthening of a few components of a pony truss bridge does not always lead to an increase in the load-carrying capacity of the bridge.

scholarly journals Gastronomy unravelled by physics: Gastrophysics

2021 ◽  
Vol 6 (2) ◽  
pp. 153-180 ◽  
Author(s):  
Mie Thorborg Pedersen ◽  
Per Lyngs Hansen ◽  
Mathias Porsmose Clausen
Keyword(s):  
Scientific Literature ◽  
Full Range ◽  
Laws Of Nature ◽  
Well Being ◽  
Point Of View ◽  
Food Science ◽  
Scientific Disciplines ◽  
The Social ◽  
History Of ◽  
Shed Light

Useful attempts to shed light on the nature of gastronomy from a scientific point of view and to unravel the crucial connection between food, eating and well-being are currently underrepresented in the scientific literature. However, several scientific disciplines ranging from the natural to the social sciences offer valuable new perspectives on gastronomy. As one of the key disciplines in natural science, physics offers original and rigorous perspectives on all processes and structures constrained by the laws of nature. The emerging discipline called gastrophysics employs the full range of concepts, techniques and methods from physics to generate useful scientific input to the complex and holistic reflections on gastronomy. Relying on a review of the existing literature, this article illustrates how a science-based gastrophysics emerges, to a large extent from the convoluted history of food science as well as from various recent – and often overlapping – attempts to combine modern scientific methodology to questions from gastronomy. However, the present review also insists on a physics-inspired methodology to handle scale and complexity in food preparation and consumption across length scales from sub-molecular to entire foods. We exemplify how gastrophysics directly helps to develop gastronomy and how it adds to current approaches in traditional food science. We also suggest that gastrophysics may prove relevant in the context of the ongoing food transformation, which focuses strongly on sustainability, but where the importance of gastronomic aspects in this transformation is greatly needed.

scholarly journals Contemporary culture of parenting: Pedagogical implications

2020 ◽  
Vol 52 (1) ◽  
pp. 7-39
Author(s):  
Biljana Bodroski-Spariosu ◽  
Mirjana Senic-Ruzic
Keyword(s):  
Scientific Literature ◽  
Point Of View ◽  
Social Structures ◽  
Early Age ◽  
Contemporary Culture ◽  
Raising Children ◽  
Ethical Frameworks ◽  
Parent Child Interactions ◽  
Key Characteristics ◽  
Scientific Endeavour

The possibility of improving parenting practice in raising children became a very popular topic in the scientific literature during the last few decades. The focus is on raising children at an early age and the problem is thematised primarily from the psy discourse point of view. Within this framework, a modern parenting culture is established, which reduces family upbringing to dyadic parent-child interactions outside the context of social structures and values. The aim of this paper is a critical analysis of the pedagogical implications of contemporary parenting culture, considering two key characteristics. The first refers to the conceptualisation of parenting as a depersonalised individual competence. Raising children is understood as an individual competence of achieving predefined outcomes of child development, which neglects the complexity of education both as an intergenerational and as a personal relationship. Another characteristic is the scientification of parenting in the sense of referring to the evidence of empirical scientific research and relying on the so-called parental determinism model. Raising children is becoming a scientific endeavour, and parenting is the most important ?profession? that shapes the future of the child and society. Neglecting the socio-historical dimension of education in terms of structural and ethical frameworks, articulated by the context and the goal of upbringing, makes the pedagogical voice irrelevant in the contemporary culture of parenting.

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