Online courses have potential to reach broader audience when compared to traditional learning methods, as they can be made instantly available to groups of students dispersed over wide range of locations and time zones. Some learning topics are easily adopted to this online environment, while others may be challenging to implement as online courses due to their specific requirements and associated cost. If mastering certain topic requires hands-on experience then online course must be made interactive to match the experience of a traditional instructor-led class. Otherwise, online course will be perceived as unsatisfactory and lacking positive impact. Computer Aided Design (CAD) training requires both high performance Graphics Processing Unit (GPU) and hands-on experience with specific CAD software. Both these requirements are difficult to meet on a remote student computer without additional cost. In this paper, grouping CAD workstations into cells is proposed in order to perform required graphics processing using existing hardware and software resources available in an average CAD laboratory. Proposed cell framework uses video capture and GPU hardware encoding to stream the content to the remote students while capturing their interactive feedback for the near real-time hands-on experience. The framework requires single capture card per cell and utilizes 20% of the resources for the cell overhead processing. Remaining 80% of workstations are fully available to the online students and instructors.

Different methodologies are used to assess the potential for using high efficiency cogeneration for cooling and heating. They are mostly adapted to the availability of data and tools for their analytical processing. This paper presents the approach applying location intelligence as a tool that allows using geospatial analysis algorithms and geovisualization of its results. Due to the extremely large amount of data and the dependence of the results on their accuracy and the level of aggregation, the initial methodology of the analytical process implied two steps: wide scale mapping by the ”top down” method, and local mapping by “bottom up” method. However, in order to overcome the problem of regional disparities of quality and the existence of spatial data, certain adaptations of the initial methodology have been made considering the need for a single analytical approach for the entire area of interest. Randomized control of the obtained results indicate that applied geospatial algorithms satisfy the required level of accuracy and reliability of the final methodology.

Introduction: Investigations have shown that noise is one of the etiologic factors that leads to a risk of cardiovascular incidence. Aim: To present effect of noise on arterial tension and heart rate of workers who work on machine press during period of three-years. Methods: The study had a prospective character and included 30 subjects (n = 30) who were monitored over a three-year period (36 months). The respondents worked at the factory “Cimos” on machine press (Zenica, Bosnia and Herzegovina). Ten machine presses were monitored, and three workers worked on each press. Approximately every worker was affected by a wide range of noise between 65 and 110 dB in the workplace (via isohypse). MATLAB (version 9.4, MathWorks, Natick, Massachusetts, United States of America (USA)) software was used to estimate the possible damage caused by noise in factories that produce noise in their work. Results: During the three-year period, arterial tension in the subjects increased, and at the end of the observed period, they were considered as patients with a diagnosis of arterial hypertension grade I. The tension depends on the strength of the produced noise, and the values also depend on position of the respondent on the machine press. Conclusion: Noise prevention has become a problem of modern medicine. The result of our work allows estimation of arterial hypertension in specified time in case of exposure to a certain strength of noise. Prevention of noise, daytime noise prevention as well as better equipment for work and preventive equipment are imposed as imperative in such or similar conditions, with the need of development of national strategies for this issue in countries where they are not present.

E-Learning solutions for Computer Aided Design (CAD) require high quality graphics for positive impact and high satisfaction. Software tools used for hands-on CAD laboratory exercises depend on dedicated Graphics Processing Unit (GPU) to deal with complex graphics processing needed to visualize virtual models in real-time. It is challenging to offer the same level of experience to remote users as they usually cannot afford laboratory-level hardware with dedicated GPU nor such hardware can be provided to them as part of their e-Learning experience. In this paper, grouping of average CAD laboratory workstations in pairs is proposed in order to create remote stations capable of performing required CAD graphics processing for remote users while streaming it over the network for a near real-time experience. Remote station captures video and utilizes hardware HEVC encoding, as common capability of high-end dedicated GPUs, to perform low bitrate video streaming with sub-second latency. The remote station concept enables cost-effective extension of average conventional CAD laboratory to an e-Learning remote laboratory for up to 50% additional remote users in respect to the total number of the laboratory workstations.

In this paper we present an analytical model for planning and using network resources to improve network coverage, capacity and reliability, reduce network investment and maintenance costs, as well as reduce the electrical power consumption. The analysis considers the downlink of an arbitrary heterogeneous cellular network by using tools of stochastic geometry that adopts the distribution of base stations in the form of Poisson Point Process (PPP). To prove the analytical model, simulation based on ns-3 network simulator has been conducted, with accurately matching the theoretical values and boundaries.

Rolf Hansen (1931-1993) was one of pioneers of Medical informatics. He was an organized and pragmatic medical IT scientist who developed respected and pioneering health information systems at the Norwegian Institute of Public Health, Oslo, Norway (1-4).

Aim of article is to present Google Scholar Index disadvantages. The Google Scholar platform is subject to individual content manipulation. It has a wide range of searches that includes pages that do not have to be true, takes the focus of papers that are only in digital form, journal indexes and the author work index are questionable criteria for the evaluation of the work of the journal or author, the number of quotes of a particular journals is subject to manipulation and poor quality recognition, it does not classify the journals to those who are peer-reviewed and who are not, and the assessment through the index is not adequate, does not recognize the same titles, if there is a quotation error and lists them as a separate work, does not inform the author about adding new work, does not inform the author about the addition of a new quote and sources of references are often incorrect. The H index of the author, obtained by Google Scholar, should not be a criterion in academic decision-making.

Identifying the gender of a person is one of the fundamental tasks in forensic medicine. One possible application is right after a catastrophic event such as a mass disaster with a high victim count. In such cases it is necessary to identify the people involved which can require a high number of forensic experts, depending on the scale of the event. With panoramic dental x-ray images the biological gender of a person can be estimated by analyzing skeletal structures that express sexual dimorphism. Current methods require the manual measurement of a wide array of mandibular parameters which are then manually compared to references based on these measurements and assumed ethnicity of the people involved. We propose an automated solution based on deep learning techniques using convolutional neural networks. Our data consists of 4000 panoramic dental x-ray images of patients with European origin, with the images being taken by a wide range of orthopantomographs. Our automated method can estimate 64 images per second on contemporary hardware, it doesn't require human intervention for estimation and it achieves state-of-the-art results with an accuracy of 96.87% ± 0.96%.

Age estimation in living individuals has attained importance in forensic sciences from legal proceedings and has been a frequent request from concerned authorities to ascertain whether the person in question has reached the age of imputability and legal responsibility. The purpose of age estimation is not just limited to juvenile or sub-adult delinquents but also required in situations like a violation of child rights such as child employment, commercial sexual exploitation involving minor girls. Indian Law strictly forbids any employment of the children under the age of 14 and sexual exploitation of minor girls (<18 years). In this study, we assessed the skeletal and dental ages and correlate to reported chronological ages in a sample of 85 male child labourers and 31 female commercial sex workers. Statistical analysis of the results was performed to verify the similarities or differences between reported and biological age. The results had revealed a statistically significant difference between the reported age, skeletal, dental, and calculated biologic age (p < 0.05). The results indicate the need to establish a more reliable method for determining the biological age in an age-specific population.

BACKGROUND Adverse life experiences (ALE; eg, discrimination and sexual abuse) may contribute to cardiovascular disease (CVD) risk in sexual minority women (SMW), but few studies have tested whether ALE explain the association of sexual identity with cardiovascular health (CVH) markers in women. OBJECTIVE The aim of this study was to examine sexual identity differences in CVH among women and the role of ALE. METHODS In the Epidemiologic Study of Risk in Women, we used multinomial logistic regression to assess sexual identity differences (SMW vs heterosexual women [reference group]) in CVH markers (ideal vs poor, intermediate vs poor) using the American Heart Association's Life's Simple 7 metric and the total score. Next, we tested whether the association of sexual identity with the total CVH score was attenuated by traditional CVD risk factors or ALE. RESULTS The sample consisted of 867 women (395 heterosexual, 472 SMW). Sexual minority women were more likely to have experienced discrimination (P < .001) and lifetime sexual abuse (P < .001) than heterosexual women. Sexual minority women were also less likely to meet ideal CVH criteria for current tobacco use (adjusted odds ratio, 0.43; 95% confidence interval, 0.24-0.73) or intermediate CVH criteria for body mass index (adjusted odds ratio, 0.60; 95% confidence interval, 0.40-0.92). Sexual minority women had a lower cumulative CVH score (B [SE] = -0.35 [0.14], P < .01) than heterosexual women. This difference was not explained by traditional CVD risk factors or ALE. CONCLUSIONS Smoking, body mass index, and fasting glucose accounted for much of the CVH disparity due to sexual identity, but those differences were not explained by ALE. Health behavior interventions tailored to SMW should be considered.

In this paper impact of the tower arrangements on the mitigation of the increased values of the electric field intensity at high-voltage transmission line conductors was investigated. Several configurations of high-voltage towers (horizontal, delta, reverse delta, vertical and split-phase configurations) were analyzed. It assumed that the same height of the lowest phase conductors above the ground and the same value of the connected 400 kV voltage. The calculations were carried out for the values of the electric field intensity on the surface of the conductor and its immediate vicinity. A charge simulation method was used to calculate the electric field intensity on the surface of the stranded conductors and their immediate vicinity.

This paper presents a new approach to the optimal placement of power quality monitors (PQMs) for voltage sag detection. Determining the optimal number and arrangement of PQMs is necessary since the installation of monitors at all buses in a network is an uneconomical option. The optimization problem is defined by the concept of topological monitor reach area. A new cost function is defined in order to simultaneously determine the required number of PQMs and their arrangement. Four optimization methods are implemented to solve the problem: Genetic Algorithm, Binary Particle Swarm Optimization, Binary Dragonfly Algorithm and Binary Bat Algorithm. The presented approach is tested on one part of the power distribution network in the capital city of our country. Simulations proved that the Binary Bat Algorithm has the best performance in terms of computational time, convergence and the probability rate of finding the global optimum.

This paper presents a new approach to determine the optimal number and arrangement of power quality monitors (PQMs) for voltage sag detection. It is necessary to determine the optimal number and arrangement of PQMs since their installation at all buses in a network is an uneconomical option due to relatively high price of PQMs. The appropriate mathematical model, that describes the considered optimization problem, is created by using the concept of topological monitor reach area. A new definition of the cost function is presented in the paper in order to simultaneously determine the required number of PQMs and their best arrangement. Also, the effect of setting different values of monitor's coverage control parameter on the obtained results is analyzed. Four optimization methods are implemented to solve the considered problem: Binary Bat Algorithm, Binary Dragonfly Algorithm, Binary Particle Swarm Optimization and Genetic Algorithm. The presented approach is tested on the IEEE 34-node test system. Simulations proved that the Binary Bat Algorithm has the best performance in terms of computational time, convergence and the probability rate of finding the global optimum.

Abstract In this paper, Huang’s Empirical Mode Decomposition approach is proposed for df / d t and active power imbalance in power system estimation. Applied approach implies availability of synchronized phasor measurement units. In addition to the successful applications in the analysis of nonstationary dynamic behavior of power system, identifications and analyses of low-frequency electromechanical oscillations and signals denoising, this approach also enables direct estimation of rate of change of a weighted average frequency (frequency of the center of inertia), as well as assessment of the overall imbalance in the power system. This demonstration is performed using computer simulation testing on the 39 Bus New England System and Western System Coordinating Council 118 bus test systems in the DigSILENT PowerFactory power system analysis software package. To validate the proposed approach the actual frequency information are used. Empirical Mode Decomposition approach is compared with Discrete Wavelet Transform, Method of Least Squares and the results from the DigSILENT PowerFactory. Also, performance of the empirical mode decomposition are compared with performances of the multivariate empirical mode decomposition and noise assisted multivariate empirical mode decomposition on both, simulated signals and field measurements. Applied approach is implemented in the MATLAB environment and results show very high accuracy.