success factors in the context of information systems (IS) projects. Through the process of review of
88 books, relevant studies and scientific works 72 success factors were detected, with a total of 689
appearances, which are then classified into six factor groups: Planning, Project team, Project
management, Development, Customer, Project facilitation. The paper reveals that factors that were
recognized as the most critical ones for the success of information systems projects by majority of
authors belong first to Planning, and then to Project team and Project management groups of factors.
Findings in this paper are expected to serve as a valuable theoretical basis for future empirical
research of success and failure of projects in modern information technologies (IT) organizations,
and development of related IS project success models.]]> modelling, analysis, control and covers a range of topics including modelling, computation of load
flow in the transmission grid, stability analysis of the transient state. It is widely accepted that
transient stability is an important aspect in designing and upgrading electric power system. In
utility planning, transient stability is studied by numerical simulation. It involves the study of the
power system following a major disturbance. In order to study Electric Power System transient
stability, the models to describe their components should be defined. The components are defined
using the classical model, which is valid to time periods up to 2 seconds. This project contains 11
busbars, 1 synchronous generator, 3 loads and 8 transformers. This research is done in DIgSILENT
PowerFactory software for network modeling and simulation by using Stability Analysis Functions
(RMS) advanced feature. In this paper we are analyses the maximum rated power of distributed
generation (DG) considering only the terms of voltage limit constraints, the N-1 operational
criterion analysis and three-phase symmetrical fault analysis for N-1 criterion is examined.]]> population: a review of previous studies]]> arterial thrombosis, as well as a risk of adverse pregnancy outcomes. Gene variants that are the most
commonly associated with inherited thrombophilia are F5 mutation 1691G>A (Factor V Leiden), F2
20210G>A (prothrombin mutation), MTHFR 677C>T, and PAI-1 variant 4G/5G. This paper aims to
review currently available literature on the prevalence of heritable thrombophilia genetic markers
and their association with thromboembolic events in Bosnia and Herzegovina. PubMed and PubMed
Central databases of the National Center for Biotechnology Information (NCBI) and ResearchGate
were searched to identify the most relevant studies. The results of the previously published studies
show discrepancies when it comes to reported findings, thus implying that further research on this
topic is necessary. It is suggested that new studies include greater sample size in order to confirm the
correlation between the studied variants and conditions associated with heritable thrombophilia in
the Bosnian-Herzegovinian population and to advance the understanding of these variants.]]> Disorder - ASD diagnosis. ASD is detected based on behavioral screening which is time consuming and
can only be taken by a medical professional. The idea is to find a smaller number of features that are still
able to equally well provide satisfying results and not lose the accuracy, sensitivity nor specificity. Some
of the algorithms mostly used in recent studies were Artificial Neural Network - ANN and Alternating
Decision Trees - ADTrees. The researches usually use WEKA software package for applying the algorithm
and obtaining results.]]> common consumer usage. The transitional period of the handwritten to the digital age can be
largely improved by focusing on perfecting handwritten character recognition.
This paper and work aims to focus on handwritten digit recognition using the decision tree
classifier machine learning method, implemented, trained and tested on the data set gathered from
the Modified National Institute of Standards and Technology dataset.
The data to be recognized is inputted from a pre-existing reliable set, used both for training and
testing, in order to give a fair result. The system is run through a Python script and the data set is
stored in CSV format, preprocessed and ready for further usage.
Taking into consideration the size of the dataset (42000 rows of data), the system’s overall
performance is satisfactory with an accuracy of 85% and outputs the results in an understandable
manner.
]]> property, employees and other assets of a company or institution. Since attendance checking and
intrusion detection are important segments of many educational institutions and other businesses as
well, it is important to make these processes faster, easier and as convenient as possible. Lots of
institutions are suffering from unreliable attendance checking methods, so we have decided to use
biometrics, more precisely face recognition to automate and improve this overall process. As part of
this study the full system has been implemented for recognition of people. As an example of usage in
an educational institutions multiple photos will be recorded during the class session, so that in case
of students leave class after the first shot, they will be removed from attendance sheet. All
recognized people will be stored in Mongo database as an array of features and later read from
database and processed by using Python script for face recognition. All educational institutions are
going to have benefits from this study. Benefits would be improving attendance management and
security.]]> ]]> the electric power system. This paper presents the transient stability analysis for the case of the new
generator grid connection. The analysis is performed on a modified IEEE 14-Bus test system. In total,
two cases were analysed. In the first case, the analysis with the maximum installed power of the generator
(250 MW) is carried out, while in the second case, the analysis is performed using the optimal generator
ratings (75 MW) using the DIgSILENT PowerFactory software. The transient stability analysis was
carried out under the three-phase symmetrical faults and the N-1 criterion requirements. The results
indicate that power system large disturbances significantly influence system operation and
characteristics. This paper demonstrates the importance of transient stability analysis, which is an
important part of power system studies and must be included in generator grid connection approval.]]> facing many challenges regarding power quality and voltage stability. This paper deals with the impact
of electric vehicle in grid-to-vehicle mode depending on different EV penetration levels and point of
connection on static voltage stability impact of a real low-voltage distribution network. Based on nine
variations created, results showed that connecting vehicles closer to the beginning of the feeders creates a
smaller voltage drop, therefore more vehicles can be connected. However, going farther from the feeder
causes voltage to go below 0.9 p.u. and eventually leads to instability.]]> ]]> ]]> ]]>