Periodicals of Engineering and Natural Sciences (PEN - International University of Sarajevo)
Not a member yet
1290 research outputs found
Sort by
Dynamic Load Balancing in Image Retargeting using Pipeline Architecture
Full text linkIn today’s smart world demand of efficient multimedia based communication has increased at a rapid rate. Diversity on display sizes of gadgets used for multimedia communication confines the quality of images. Image retargeting is used as the focal solution to this problem which results in images with appropriate sizes. Enormously mounting demand of image retargeting expedites the rate of increment in computational load. This research paper expatiate and experiments a dynamic load balancing based three phase image retargeting methodology using pipeline architecture. In the first phase of image retargeting resize operation is performed on input image which results in multiple sized image copies of the same image. In the second phase resized images undergo quantization operation. In the final phase lossless compression is performed to have an expedient image. In the proposed exhibit think, we have done statistical analysis of results obtained, to confirm an impartial dynamic load balancing with a better degree of underlying resource utilization. We extend the approach to achieve significant storage optimization using three phase image retargeting
Using Isolation Forest in anomaly detection: the case of credit card transactions
Full text linkWith the evolution of new technology especially in the domain of e-commerce and online banking, the payment by credit card has seen a significant increase. The credit card has become the most used tool for online shopping. This high rate in use brings about fraud and a considerable damage. It is very important to stop fraudulent transactions because they cause huge financial losses over time. The detection of fraudulent transactions is an important application in anomaly detection. There are different approaches to detecting anomalies namely SVM, logistic regression, decision tree and so on. However, they remain limited since they are supervised algorithms that require to be trained by labels in order to know whether the transactions are fraudulent or not. The goal of this paper is to have a credit card fraud detection system which is able to detect the highest number of new transactions in real time with high accuracy. We will also compare, in this paper, different unsupervised techniques for credit card fraud detection namely LOF, one class SVM, K-means and Isolation Forest so as to single out the best approach
The development of a standard qualification protocol for all climatic and thermostatic chambers according to the requirements of the Good Manufacturing Practices (GMP) and the standards of characterization: NF X 15-140 and NF EN 60068-3.
Full text linkThe qualification of climatic and thermostatic chambers is not based on a single standard, but it also requires the control of several standards such as NF X 15-140, NF EN 60068-3 and the requirements of the Good Manufacturing Practices (GMP). So, currently the qualifiers only take into account the standard NF X 15-140 or NF EN 60068-3 to make their qualification, without giving importance to other criteria that must be treated or accurately tested and that are not mentioned in these standards, but they are cited in other references such as GMP (Good Manufacturing Practices). Because with the standards NF X 15-140 or NF EN 60068-3 we can only judge on the conformity of the distribution of temperature and humidity into the chamber. That is to say, in qualification terms, it is the last step of the qualification, which is the PQ (Performance Qualification). While in the GMP, we find the other steps of qualification, which are the IQ (Installation Qualification) and the OQ (Operational Qualification) and even in the GMP, they are not well detailed. Thanks to the use of the characterization standards such as NF X 15-140 and NF EN 60068-3 and the requirements of the Good Manufacturing Practices, we have been able to develop a standard qualification protocol. Indeed, this protocol could be used for all climatic and thermostatic chambers for the purpose of their qualification. Also, it could allow us to make a judgment on the conformity or not of the chamber to qualify
Potential of air quality improvements in Sarajevo using innovative architecture approach
Full text linkAir pollution and population health related to it is one of the main issues in Sarajevo in the past few years, especially in the winter time. Reason for that is combustion of coal, oil fuel and other harmful emissions that leads to creation of air pollutants such are: particulate matter (PM), sulfur dioxide (SO2), nitrogen dioxide (NOx), and creation of Ozone (O3). This study addressed the question regarding possible solutions for improvement of air quality by removing NOx emitted from the cars in the particular area of urban core of Marijin Dvor in Sarajevo using innovative architecture approach. Basic principle introduced by this paper considered outdoor application of TiO2 coating, in accordance with previously conducted studies. First part of research was conducted bysnowball research method which was used for accumulation of similar research material, while later study was completed using mixed method research design with explanatory research method which provided analyses, comparison and calculation of expected outcomes of applied innovative solutions as a mean to reduce pollution. These innovative approaches were implemented as coatings of TiO2 on elevations and paved areas next to the main road. Total area covered by TiO2 was 15 778 m2. Results strongly indicate that usage of TiO2 coating as innovative approach reduced the amount of NOx emitted by cars per year by 52,39%. This amount of NOx removed after treatment indicates that method proposed in this study was very effective and suggests that this study can contribute to further analyses and lead to possible implementation in the future
Estimation of Specific Gravity with Penetration and Penetration Index Parameters by Artificial Neural Network
Full text linkSpecific Gravity of the bitumen changes according to the ambient temperature. Different specific gravity values can be calculated at different temperature. Estimating models like Artificial Neural Network – ANN could be very useful to obtain the specific gravity value uniform. Specific gravity values obtained from Long-Term Pavement Performance – LTPP were estimated with artificial neural networks. Penetration and Penetration Index of binder were used for estimating the specific gravity of the bitumen. As a result, ANN get 84% of R2 between obtained and estimated values
CFD study to improve PV cell performance by forced air :Modern design
Full text linkA theoretical study was conducted on the performance of photovoltaic cells by forced airflow on the cell base. The study was conducted using numerical simulation software (ANSYS- cfx) to select the best model for its manufacture. The simulation results showed that the air guides model is the best, directing the largest amount of air to the base of the cell and the lowest cost and available in local markets. Air guides shall be installed inside an aluminum channel fixed to the bottom of the cell base and the channel dimensions shall be selected according to the dimensions of the photovoltaic cell to be cooled. A numerical study determine the best number and best location of the air guides inside the duct channel and the tilt angle of air guides and showed that the optimum number of pneumatic guides is (18) in a position (70 mm) from the base of the channel and at a 45-mile angle with the horizon
The Investigation of Using For Gasoline Atomization of Ultrasonic Sound Generated By Piezoelectric Ceramic
Full text linkFuel atomization is important for internal combustion engine. Therefore in this study ultrasonic atomization method isused as a new atomization method. The ultrasonic sound generation using field and properties, especially by cavitationseffect on liquids scanned in literature. Ultrasonic atomization method was compared with the existing experimentalinjector atomization data. Scaled droplets were occurred as a result of atomization. Image processing method was usedfor droplet size.As a result experimental findings transformed into image and graphics. Pictures and graphics were interpreted andwritten to paper. 
Learning by doing. Case study: education for sustainable development at the University of Latvia
Full text linkJunction of possibilities offered by European research programmes in the tertiary education and technology enhanced learning open up new borders for students and young researchers; especially for the ones from institutions with less strong collaboration links to Western-Europe and overseas.
University of Latvia has undertaken the challenge of designing master’s programme on education for sustainable development called ‘Natural Sciences, Global Change and Technologies for Sustainable Development’ combined with application of digital learning tools. Teaching staff was formed form several faculties of the University of Latvia, other universities, respective companies as well as foreign partner institutions to ensure transdisciplinarity and broad application of different learning tools. Along with the tuition, also international conferences and summer schools were organised. Open discussions among foreign professors and youngsters facilitate more rapid promotion of the latter. Now our students demonstrate recognised success, e.g., have joined research community in Max Planck Society, and have won the Energy Globe Award in the field of education for sustainable development.
The paper describes a case study of transforming the master’s programme curriculum by employing various methods and tools
Virtual mobility for students, going from distance learning to live participation
Full text linkPaper reviews differences between virtual mobility and distance learning, providing insight into current state of art for online learning in higher education. Authors analyze main barriers and obstacles for live virtual mobility to become a mainstream practice as well as justify the possible regions of operation. Summary is provided for the most visible pilot projects that have paved the way for the term virtual mobility to become an object of interest. Main impact factors are listed and the discussion part summarizes the future vision of live virtual student mobility in higher education
NAO robot fuzzy obstacle avoidance in virtual environment
Full text linkThe fuzzy inference system for obstacle avoidance developed in this paper is designed for NAO humanoid robot. The fuzzy obstacle avoidance (Fuzzy OA) has been tested in Webots virtual environment and the results showed that this method is almost two times faster than the Naoqi framework obstacle avoidance (Naoqi OA) while the robot is much more stable. Because the fuzzy inference system is a method that relies on trial an error and experience, the obstacle avoidance algorithm is subject to improvements. Future developments will take into account these results and will add other fuzzy inference systems for navigation, in order to get more autonomy for Nao robot