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Image Processing is an emerging field that is used to extract information from images. In recent years, this field has received immense attention from researchers, especially in the research domains of object detection, Biomedical Imaging and Semantic segmentation. In this study, a bibliometric analysis of publications related to image processing in the Science Expanded Index Extended (SCI-Expanded) has been performed. Several parameters have been analyzed such as annual scientific production, citations per article, most cited documents, top 20 articles, most relevant authors, authors evaluation using y-index, top and most relevant sources (journals) and hot topics.

The Bibliographic data has been extracted from the Web of Science which is well known and the world's top database of bibliographic citations of multidisciplinary areas that covers the various journals of computer science, engineering, medical and social sciences.

The research work in image processing is meager in the past decade, however, from 2014 to 2019, it increases dramatically. Recently, the IEEE Access journal is the most relevant source with an average of 115 publications per year. The USA is most productive and its publications are highly cited while China comes in second place. Image Segmentation, Feature Extraction and Medical Image Processing are hot topics in recent years. The National Natural Science Foundation of China provides 8% of all funds for Image Processing. As Image Processing is now becoming one of the most critical fields, the research productivity has enhanced during the past five years and more work is done while the era of 2005–2013 was the area with the least amount of work in this area.

This research is novel in this regard that no previous research focuses on Bibliometric Analysis in the Image Processing domain, which is one of the hot research areas in computer science and engineering.

A citation analysis was conducted on publications of the faculty from the University of Florida (UF), Department of Chemical Engineering. The analysis was undertaken to gain a better understanding of the research programs in chemical engineering and to examine how the library aligns its research support through resources and journals to the needs of the department’s faculty. The analysis focused on where the faculty published, their most frequently cited resources, and what growth patterns were evident. The paper aims to discuss these issues.

Five years of publications (2011-2015) by the UF chemical engineering faculty were included in the analysis. Web of Science was used to compile a list of the articles published in peer-reviewed journals as well as the citations.

Faculty were found to have published 279 articles in the last five years, with 27 percent of those articles shared by five journals, and with an average impact factor of 3.459. Applied Physics Letters was the most cited journal and Advanced Materials had the highest impact factor of 17.493. The library owned 95 percent of the publications in which faculty published their work and at least 82 percent of the resources cited in their publications. The pattern of the publications was not consistent and the most articles in one year (69) were published in 2013.

Since this study focused on the current patterns regarding where the faculty are publishing and citing, it should be a fairly accurate indicator of their future needs. Therefore, the study impacts decisions regarding future directions by enabling the library to maintain a high-quality collection for the faculty.

The purpose of this paper is to propose an enhanced pose tracking method using progressive scan matching, focusing on accuracy, time efficiency and robustness.

The general purpose of localization algorithms is to dynamically track a robot instead of globally locating one. In this paper, progressive scan matching is used to promote the performance of pose tracking. Rotational and translational samples are separately generated to accelerate the calculation and to increase the accuracy. Progressive iteration of sample generation can ensure localization to achieve a specific precision. The direction of localization uncertainty is taken into consideration to increase robustness. Nonlinear optimization is adopted to achieve a more precise result.

The proposed method was implemented on a self-made mobile robot. Two experiments were conducted to test the accuracy and time efficiency of the method. The comparison with the basic Monte Carlo localization shows the advantages of the method. Another two experiments were conducted to test the robustness of the method. The result shows that the method can relocate a robot from an inaccurate place if the offset is moderate.

An enhanced pose tracking method is proposed to promote the performance by separately processing rotational and translational samples, progressively iterating the sample generation, taking the direction of localization uncertainty into consideration and adopting nonlinear optimization. The proposed method enables a robot to accurately and quickly locate itself in the environment with robustness.

The purpose of this study is to analyze the global scientific outputs on eBooks research using Scopus database.

This study collected literature published during 2001-2016 from the Scopus database. Following keywords were used: “eBook*”, “e-Book*”, “electronic book*” or “online book*” in title or keyword or abstract with time span covering 2001 to 2016. The authors further restricted their search limit to subject category of social science, computer science and arts and humanities. A total of 2,965 documents were found from the search strategy, including 1,582 research articles. Articles were considered for the analysis using Microsoft Excel 2007. The bibliometric analysis was performed to analyze the document types, language, publication output, citations, authorship pattern, journals, prolific authors, productive countries and most frequently appeared top words/phrases from the title of the articles.

Literature on eBooks grown exponential and eBooks was the hot topic of the research in recent decade. Most of the articles were contributed by the single authors, and the USA and the UK were the most productive countries; however, in recent times, Taiwan has also joined them. The articles published in the year 2009 have recorded highest citation rate. Publishing Research Quarterly was the most productive journal, which has published 61 articles on eBooks, followed by the Electronic Library (59) and Library Hi Tech News (35). Korat O. was the most productive author on eBooks research who was affiliated to Bar-Ilan University, Israel. The researchers were keen on investigating the experience of use of eBooks, reader, impact, challenges, access, reading habits and usage of the eBooks.

This is the first kind of study to quantify global research patterns and trends in eBooks, which might provide a potential guide for the future research.

This paper seeks to report a project to investigate the degree of inter‐indexer consistency in the assignment of controlled vocabulary topical subject index terms to identical graphical images by different indexers at the National Library of Wales (NLW).

An experimental quantitative methodology was devised to investigate inter‐indexer consistency. Additionally, the project investigated the relationship, if any, between indexing exhaustivity and consistency, and the relationship, if any, between indexing consistency/exhaustivity and broad category of graphic format.

Inter‐indexer consistency in the assignment of topical subject index terms to graphic materials at the NLW was found to be generally low and highly variable. Inter‐indexer consistency fell within the range 10.8 per cent to 48.0 per cent. Indexing exhaustivity varied substantially from indexer to indexer, with a mean assignment of 3.8 terms by each indexer to each image, falling within the range 2.5 to 4.7 terms. The broad category of graphic format, whether photographic or non‐photographic, was found to have little influence on either inter‐indexer consistency or indexing exhaustivity. Indexing exhaustivity and inter‐indexer consistency exhibited a tendency toward a direct, positive relationship. The findings are necessarily limited as this is a small‐scale study within a single institution.

Previous consistency studies have almost exclusively investigated the indexing of print materials, with very little research published for non‐print media. With the literature also rich in discussion of the added complexities of subjectively representing the intellectual content of visual media, this study attempts to enrich existing knowledge on indexing consistency for graphic materials and to address a noticeable gap in information theory.

The purpose of this paper is to find a convenient contact detection algorithm in order to apply in distinct element simulation.

Taking the most computation effort, the performance of the contact detection algorithm highly affects the running time. The algorithms investigated in this study consist of Incremental Sort-and-Update (ISU) and Double-Ended Spatial Sorting (DESS). These algorithms are based on bounding boxes, which makes the algorithm independent of blocks shapes. ISU and DESS algorithms contain sorting and updating phases. To compare the algorithms, they were implemented in identical examples of rock engineering problems with varying parameters.

The results show that the ISU algorithm gives lower running time and shows better performance when blocks are unevenly distributed in both axes. The conventional ISU merges the sorting and updating phases in its naïve implementation. In this paper, a new computational technique is proposed based on parallelization in order to effectively improve the ISU algorithm and decrease the running time of numerical analysis in large-scale rock mass projects.

In this approach, the sorting and updating phases are separated by minor changes in the algorithm. This tends to a minimal overhead of running time and a little extra memory usage and then the parallelization of phases can be applied. On the other hand, the time consumed by the updating phase of ISU algorithm is about 30 percent of the total time, which makes the parallelization justifiable. Here, according to the results for the large-scale problems, this improved technique can increase the performance of the ISU algorithm up to 20 percent.

The purpose of the article is to study the recent tendencies of growth of Russia’s agro-industrial complex (AIC), determine the optimal scenario of its development, and develop recommendations in the sphere of state regulation for its practical implementation. While there are tendencies of growing production and increase in Russia’s export, against this background, there is a tendency of quicker increase of import of food – if it continues, positive balance of foreign trade of food products in 2018 will turn into negative balance in 2020–2024. Though efficiency of crop farming is peculiar for a tendency of quick growth, efficiency of animal breeding is stable, which does not allow overcoming the growing deficit of food in Russia, which grows under the influence of the tendency of wear of fixed funds and slow implementation of new fixed funds due to insufficient financing. Scenarios of mid-term (i.e., until 2024) growth of Russia’s AIC are compiled, of which the most optimal is scenario that requires technological advancements, due to which increase in the value of index of food security up to 85.00 points (27%) will be achieved and the set goals of growth and development of Russia’s AIC will be reached. For a successful optimal scenario of the growth of Russia’s AIC, we offer recommendations in the sphere of state regulation of its digital modernization: adoption of the national strategy of transition to AIC 4.0 within the program “Digital economy of the RF,” development of import substitution in the AIC with emphasis on B2B markets, preparation of the technological platform for transition to AIC 4.0, and sufficient financing for digital modernization of the AIC.

Behavioral economic analysis of health-related behavior is a potentially useful approach to study and control non-communicable diseases. The purpose of this paper is to explore the time preferences of individuals and its impact on obesity in an adult population of Iran.

A structured questionnaire was completed by 792 individuals who were randomly selected from the participants of an ongoing national Prospective Epidemiological Research Studies in IrAN cohort study in West of Iran. The quasi-hyperbolic discounting model was used to estimate the parameters of time preferences and a probit regression model was used to explore the correlation between obesity and time preferences.

There was a statistically significant correlation between obesity and both the long-run patience and present-biased preferences of participants. Individuals with a low level of long-run patience were 10.2 percentage points more likely to be obese compared to individuals with a high level of long-run patience. The probability of being obese increased by 11 percentage points in present-biased individuals compared to future biased individuals.

The long-run patience and time inconsistent preferences were significant determinants of obesity. Considering the time-inconsistent preferences in the development of policies to change obesity-related behavior among adults might increase the success rate of the interventions.

University rankings and metrics have become an increasingly prominent basis of student decisions, generalized university reputation, and the resources university’s attract. We review the history of metrics in higher education and scholarship about the influence of ranking on the position and strategic behavior of universities and students. Most quantitative analyses on this topic estimate the influence of change in university rank on performance. These studies consistently identify a small, short-lived influence of rank shift on selectivity (e.g., one rank position corresponds to ≤1% more student applicants), comparable to ranking effects documented in other domains. This understates the larger system-level impact of metrification on universities, students, and the professions that surround them. We explore one system-level transformation likely influenced by the rise of rankings. Recent years have witnessed the rise of enrollment management and independent educational consultation. We illustrate a plausible pathway from ranking to this transformation: In an effort to improve rankings, universities solicit more applications from students to reduce their acceptance rate. Lower acceptance rates lead to more uncertainty for students about acceptance, leading them to apply to more schools, which decreases the probability that accepted students will attend. This leads to greater uncertainty about enrollment for students and universities and generates demand for new services to manage it. Because these and other system-level transformations are not as cleanly measured as rank position and performance, they have not received the same treatment or modeling attention in higher education scholarship, despite their importance for understanding and influencing education policy.

Action sports are beginning to acquire the status of mainstream sports and are increasingly recognised as a profitable enterprise by both the sports industry and the business industry. The purpose of this study is to analyse motivation of action sports participants. The researchers collected data at the 2005 LG (Lucky Geum Sung) FMX (Freestyle Motocross) World Championships. The results of a MANOVA test and a series of ANOVA tests revealed that in general these action sports participants (n=253) are highly motivated by fun/enjoyment and risk-taking. Motivation of action sports participants varies across gender and level of experience.