scholarly journals A Framework for Automatic Topic Segmentation in Video Lectures

Author(s):  
Eduardo R. Soares ◽  
Eduardo Barrére

Nowadays, video lectures are a very popular way to transmit knowledge, and because of that, there are many repositories with a large catalog of those videos on web. Despite all benefits that this high availability of video lectures brings, some problems also emerge from this scenario. One of these problems is that, it is very difficult find relevant content associate with those videos. Many times, students must to watch the entire video lecture to find the point of interest and, sometimes, these points are not found. For that reason, the proposal of this master’s project is to investigate and propose a novel framework based on early fusion of low and high-level audio features enriched with external knowledge from open databases for automatic topic segmentation in video lectures. We have performed preliminary experiments in two sets of video lectures using the current state of our work. The obtained results were very satisfactory, which evidences the potential of our proposal.

Author(s):  
Alexander Votinov

Современное состояние и развитие уголовно-исполнительной системы Российской Федерации диктует необходимость овладения будущими специалистами комплексом определенных знаний, умений и навыков, позволяющих им эффективно решать служебные задачи. Одним из путей повышения профессионального уровня специалистов является формирование и развитие профессиональной культуры. Проведенный в статье анализ понятия «профессиональная культура» позволяет констатировать сложность его содержания, что связано с особенностями профессиональной деятельности сотрудников УИС, многообразием решаемых задач. Автором подробно исследуется процесс формирования профессиональной культуры в вузах ФСИН России, рассматриваются особенности работы в данном направлении профессорско-преподавательского состава, командиров строевых подразделений, сотрудников отделов по работе с личным составом, приводятся возникающие при этом проблемы и предлагаются возможные пути решения. Отмечается, что успешность формирования профессиональной культуры курсантов зависит от их профессионализма, дисциплинированности, инициативности, настойчивости и личного примера сотрудников. В заключение подчеркивается, что высокий уровень профессиональной культуры сотрудника УИС является условием успешной служебной деятельности и целью дальнейшего профессионального самосовершенствования.The current state and development of the criminal Executive system of the Russian Federation dictates the need for future specialists to master a set of certain knowledge, skills and abilities that allow them to solve official tasks effectively. One of the ways to improve the professional level of specialists is the formation and development of professional culture. The analysis of the concept of «professional culture» in the article allows us to state the complexity of its content, which is associated with the peculiarities of professional activity of employees of the UIS, the variety of tasks to be solved. The author studies in detail the process of formation of professional culture in the universities of the Federal penitentiary service of Russia, examines the features of work in this direction of the teaching staff, commanders of combat units, employees of departments for work with personnel, presents the problems arising in this case and suggests possible solutions. It is noted that the success of the formation of professional culture of cadets depends on their professionalism, discipline, initiative, perseverance and personal example. In conclusion, it is emphasized that the high level of professional culture of the employee is a condition of successful performance and the purpose of further professional self-improvement.


Author(s):  
Xiaoling Luo ◽  
Adrian Cottam ◽  
Yao-Jan Wu ◽  
Yangsheng Jiang

Trip purpose information plays a significant role in transportation systems. Existing trip purpose information is traditionally collected through human observation. This manual process requires many personnel and a large amount of resources. Because of this high cost, automated trip purpose estimation is more attractive from a data-driven perspective, as it could improve the efficiency of processes and save time. Therefore, a hybrid-data approach using taxi operations data and point-of-interest (POI) data to estimate trip purposes was developed in this research. POI data, an emerging data source, was incorporated because it provides a wealth of additional information for trip purpose estimation. POI data, an open dataset, has the added benefit of being readily accessible from online platforms. Several techniques were developed and compared to incorporate this POI data into the hybrid-data approach to achieve a high level of accuracy. To evaluate the performance of the approach, data from Chengdu, China, were used. The results show that the incorporation of POI information increases the average accuracy of trip purpose estimation by 28% compared with trip purpose estimation not using the POI data. These results indicate that the additional trip attributes provided by POI data can increase the accuracy of trip purpose estimation.


2021 ◽  
Vol 11 (2) ◽  
pp. 23
Author(s):  
Duy-Anh Nguyen ◽  
Xuan-Tu Tran ◽  
Francesca Iacopi

Deep Learning (DL) has contributed to the success of many applications in recent years. The applications range from simple ones such as recognizing tiny images or simple speech patterns to ones with a high level of complexity such as playing the game of Go. However, this superior performance comes at a high computational cost, which made porting DL applications to conventional hardware platforms a challenging task. Many approaches have been investigated, and Spiking Neural Network (SNN) is one of the promising candidates. SNN is the third generation of Artificial Neural Networks (ANNs), where each neuron in the network uses discrete spikes to communicate in an event-based manner. SNNs have the potential advantage of achieving better energy efficiency than their ANN counterparts. While generally there will be a loss of accuracy on SNN models, new algorithms have helped to close the accuracy gap. For hardware implementations, SNNs have attracted much attention in the neuromorphic hardware research community. In this work, we review the basic background of SNNs, the current state and challenges of the training algorithms for SNNs and the current implementations of SNNs on various hardware platforms.


2021 ◽  
Vol 5 (CHI PLAY) ◽  
pp. 1-24
Author(s):  
Andrey Krekhov ◽  
Katharina Emmerich ◽  
Ronja Rotthaler ◽  
Jens Krueger

Escape rooms exist in various forms, including real-life facilities, board games, and digital implementations. The underlying idea is always the same: players have to solve many diverse puzzles to (virtually) escape from a locked room. Within the last decade, we witnessed a rapidly increasing popularity of such games, which also amplified the amount of related research. However, the respective academic landscape is mostly fragmented in its current state, lacking a common model and vocabulary that would withstand these games' variety. This manuscript aims to establish such a foundation for the analysis and construction of escape rooms. In a first step, we derive a high-level design framework from prior literature. Then, as our main contribution, we establish an atomic puzzle taxonomy that closes the gap between the analog and digital domains. The taxonomy is developed in multiple steps: we compose a basic structure based on previous literature and systematically refine it by analyzing 39 analog and digital escape room games, including recent virtual reality representatives. The final taxonomy consists of mental, physical, and emotional challenges, thereby providing a robust and approachable basis for future works across all application domains that deal with escape rooms or puzzles in general.


Author(s):  
V. Sautkina

The following article is devoted to the study of current state of national education and healthcare systems. The cost of services in these areas constantly increases, there for even developed countries are forced to make significant efforts in order to maintain earlier achieved results. Due to this reason countries entered into the period of constant reforms with the purpose of maintaining that high level of health and educational services for all segments of population with a constant reduction of its volume of financing. The legal aspects of these changes are requiring manifestation of the will of politicians in order to overcome the opposition of parties which are defending their interests. As an example, the main opponents of the healthcare reforms proposed by Barak Obama in the USA are Republicans who are concerned about a significant increase of a state control over the entire national insurance system. The author comes to the conclusion that only joint actions of the government and every segment of population might actually improve the quality of medical and educational services.


Author(s):  
Jwalin Bhatt ◽  
Khurram Azeem Hashmi ◽  
Muhammad Zeshan Afzal ◽  
Didier Stricker

In any document, graphical elements like tables, figures, and formulas contain essential information. The processing and interpretation of such information require specialized algorithms. Off-the-shelf OCR components cannot process this information reliably. Therefore, an essential step in document analysis pipelines is to detect these graphical components. It leads to a high-level conceptual understanding of the documents that makes digitization of documents viable. Since the advent of deep learning, the performance of deep learning-based object detection has improved many folds. In this work, we outline and summarize the deep learning approaches for detecting graphical page objects in the document images. Therefore, we discuss the most relevant deep learning-based approaches and state-of-the-art graphical page object detection in document images. This work provides a comprehensive understanding of the current state-of-the-art and related challenges. Furthermore, we discuss leading datasets along with the quantitative evaluation. Moreover, it discusses briefly the promising directions that can be utilized for further improvements.


2019 ◽  
Vol 2 ◽  
pp. 1-8
Author(s):  
Carolina Aguilar Aravena ◽  
Luciene Stamato Delazari

<p><strong>Abstract.</strong> The use of Indoor Positioning Systems (IPS) has gained an exponential growth due to the high availability of infrastructure to carry out its development. In this context this work presents the development of an Open Source Software for indoor positioning with the use of WIFI networks, since in this type of environment the pedestrian needs a greater assistance for its location and navigation. The application was developed in Android Studio, with a database generated using the WIFI routers of the study area. In addition, the position of the user in real time is showed in a map. The positioning techniques used for this application were Proximity, Center of Mass and Trilateration. The results shows that it is possible to obtain a high level of agreement in the identification of building and floor. The results also show that it is possible to develop an indoor positioning application through WIFI networks.</p>


TRAUMA ◽  
2021 ◽  
Vol 22 (3) ◽  
pp. 12-19
Author(s):  
A.N. Kosiakov ◽  
A.Ye. Loskutov ◽  
K.A. Hrebennikov ◽  
A.V. Miloserdov ◽  
Ye.M. Fedin ◽  
...  

Background. Additive technologies are increasingly making their way from university laboratories and high-tech industries into routine clinical practice and even into our everyday lives. Any enthusiast, having a PC and a 3D printer at his or her disposal, can create any physical object — from children’s toys to works of art. The presence on the market of a wide range of software pro-ducts, equipment, and consumables along with the data from mo-dern diagnostic methods, a high level of training and cooperation between doctors and engineers provide practical medicine with unprecedented opportunities. We are finally able to fully customize our treatment and diagnostic procedures: to perform precise preoperative planning; to draw up a detailed plan of the operation; to rehearse the intervention on full-scale anatomical prototypes using a standard tool; to conduct the surgery as quickly and atraumatically as possible; to minimize risks; to ensure the optimal functional result and to manufacture and install customized implants in the most difficult cases. The purpose was to draw the attention of our distinguished colleagues to the aspects of application of additive technologies in modern orthopaedic practice, to introduce them into the history and current state of medical prototyping, as well as to share technological nuances with them. Materials and methods. While writing this article, we incorporated the data of recent publications in specialized domestic and foreign periodicals, several monographs, materials from thematic conferences, the results of informal conversations with colleagues in the operating rooms, at the computer and production site, as well as our own experience (over 200 cases of prototyping). Conclusions. The availability of equipment, software, and consumables allows for the introduction of additive technology into the everyday practice of nearly every modern orthopaedic and trauma clinic.


Author(s):  
I.Yu. Okolnishnikova ◽  
Yu.G. Kuzmenko ◽  
A.I. Ukhova

The article presents the results of a study of the current state of Russian universities educational services from the perspective of their graduates analysis. Based on the leading world rankings, leading Russian universities were identified and an analysis of the number of graduates in the context of education levels was carried out. On the basis of statistical data, the existing distribution of graduates in the areas of training is revealed and the leading universities in training specialists with a scientific degree are indicated. The article analyzes the employment and wages of graduates from leading universities and discusses the features of their employment in federal districts and major cities. As a result, the authors concluded that in general, masters' knowledge is rated by employers higher than bachelors and specialists. Based on the study, the article identifies the most popular areas of training and successful universities. A separate part of the article is devoted to the results of the study of migration trends among graduates. The authors analyzed the dynamics of emigration of persons with higher education and presented a characteristic of factors contributing to the strengthening of emigration attitudes. According to the results of the analysis, conclusions were drawn about the high level of emigration of Russians abroad, accompanied by a “brain drain”.


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