Periodicals of Engineering and Natural Sciences (PEN - International University of Sarajevo)
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    1290 research outputs found

    The concept for e-material creating and formatting application prototype

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    Smart technologies and screen use increase, especially for screen-reading and its use in educational reasons. It is helpful and up to date for nowadays people. But perception from the screen is different comparing to perception of printed materials. Technologies development is faster than people adaptation to the new conditions. According to research, it brings up some different problems, especially in vision and ocular health, that affect people life quality and can increase problems in the future. There is a need for the solution. It is believed, well-formatted e-materials could improve users reading comfort and vision health, that can be followed by educational and life quality increase. One of the possible solutions is the e-material formatting application. That can improve the comfort of using e-material in learning and study process and decrease near workload. And the goal could be reached by adapting text formatting for individual needs in addition. Formatting recommendations would be based on user habits research, vision conditions, symptoms and refraction changes research from practice, and on developed recommendations for user-centric and adaptive educational e-material creation and formatting. In this paper, the detailed concept for the application prototype is shown

    Modelling and simulation of a remote controlled mechatronic device

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    The paper introduces the design, modelling and simulation of an electromechanical actuator device able to produce periodical translation movement. The parameters characterizing this movement (stroke length, force, speed profile) are considered to be remotely programmable via a wireless interface

    Results of simulation and experimental research of automobile gas diesel engine

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    The paper is dedicated to conversion of a truck diesel engine into a gas diesel engine. Different ways of diesel engine conversion for operation on natural gas were analyzed. The gas diesel working process with minimized portion of igniting diesel fuel supplied by the Common Rail system was selected as the most suitable for such an engine. Modular gas feed and electronic engine control systems were developed in MADI which may be mounted on high- and medium-speed gas diesel engines. The fuel supply system of the base diesel engine was preserved though a new algorithm of fuel injection for the gas diesel engine was developed. The systems were perfected using simulation by computer model developed in MADI and during engine tests. The gas diesel engine demonstrated good fuel efficiency and considerable decrease of NOx and CO2 emissions, though its power at low speed decreased compared to the base diesel engine. The ways to improve this drawback during the future work were proposed

    Assessment of products risks of mechanical engineering by results of diagnosing

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    Work is devoted to questions of assessment of risk indicators arising in use vehicles by means of diagnostic information. As source of information on technical condition of a vehicle data complex (stationary and remote) diagnostic systems can be used.   Main objective of assessment of risks and creations of remote diagnostic systems is forecasting of reliability and safety of operation of the vehicle. The solution of this task requires timely detection and the prevention of approach of malfunction that demands allocation of special class of the intermediate states called by preemergency. Obtaining information and accumulation of statistical data on each vehicle model is possible on condition of creation of remote diagnostic systems

    Redundant Serial Industrial Robots Class-Structural Synthesis and Useful Configuration

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    For the first, the industrial serial robots can be classified according the number of mobility degrees or independent movements, the number of independent kinematic axes, the shape of the workspace, the value of the useful load, the precision of touching a predetermined point, etc. The number of degrees of mobility directly determines the structure of the kinematic chain corresponding to the robot and implicitly its construction, functionality and utility. In this paper, we define the class of redundant industrial serial robots. For the redundant industrial serial robots the structural synthesis method is presented and for each type of representative examples of structures are given

    Asthma Attack Prediction based on Weather Factors

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    Asthma is a chronic disease which concern public health over all the world. Predicting overabundant need for healthcare services is helpful for healthcare suppliers, as it allows them to adequately plan and provide the resources that deliver services easier and suitably. Several researches have linked asthma triggers with weather and environmental changes. In this study, ‘linear regression model (LRM)‘ and ‘quantile regression model (QRM)’ are used to predict overabundant need for healthcare services for asthma monthly admissions in Polk, using backdated data from 2010 to 2017. Five weather variables were examined: maximum temperature, minimum temperature, precipitation level, humidity and thunderstorms. LRM and QRM models of asthma monthly admissions are fitted in two ways: the first way is the base model which using all the weather variables, and the second way is the reduced model which using a subset of these variables according to the pseudo R2. Models were cross-validated using the mean absolute percentage error and the level of accuracy. The base QRM predictive model with the 45th percentile of the distribution was the best fit and it detect utmost number of monthly asthma admissions at accuracy of 87.55 %, followed by base LRM with an accuracy of 87.13 %. The reduced LRM and QRM models give lower results with an accuracy of 86% and 85.9% respectively. The finding suggest that the weather variables are giving better results for the predictive model even if they have a low correlation relationship. The combination between weather variables and asthma, taking in temperature, precipitation level, humidity and thunderstorms can be utilized in predicting future asthma admission patients

    About a Dilemma in the Telecommunications Sector: Virtual Operators or Low-cost Operators?

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    A virtual operator is fragile when it is in competition with other virtual operators. This is explained by the “Bertrand paradox”: when firms sell products not differentiated (or not enough differentiated) a price war has terrible consequences (the profits tend to zero). But it is worse if there is a price war between the operators with a network. It occurred in France during the period 2012 – 2018. The entrant Free triggered a price war. The reaction of the incumbents was to create low-cost operators which were their branches.  The only virtual operator with a large size, Virgin Mobile, was “bought and closed down” by the incumbent SFR. It suffered too much because of the incumbents decreasing their prices and the low-cost operators, both. It lost many customers. One proposes a model to explain why the “buy and close down” of Virgin Mobile was profitable (and chosen) in these conditions. The method used is Bertrand competition. Also, the “buy and close down” which is profitable is a criterium for products which are not enough differentiated. A few examples are given. The aims of the paper are two: To study how works a price war in telecommunications. More generally, the possibility of profitable “buy and close down” allows to propose a criterium for saturated markets. Even, the criterium could be used to build software (to test if a market is saturated or not). The rival models which are presented in the literature are commented

    Integration of artificial intelligence technologies into financial risk forecasting in the agricultural sector

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    Financial risk is also a constant menace to the agricultural industry in Ukraine. Still, a key problem with conventional banking methods is that they cannot reflect the risk dynamics specific to the area. This paper questions the prevailing belief that artificial intelligence (AI) is universal, in the sense that it outperforms conventional econometric models in predicting credit interest rate volatility across 25 administrative regions (2015-2020). We find an empirical paradox: under the comparatively constant national level, the simple Linear Regression model performed more effectively than elaborate algorithms, with an accuracy rate of 82.35, which confirms the effectiveness of the principle of parsimony when measured against macroeconomic conditions. Nevertheless, the benefit of AI will be high in economically complex regions. Deep learning (ANN) and gradient boosting models identified non-linear risk patterns that linear models overlooked in agricultural centers such as Kherson and Dnipropetrovsk, further enhancing predictive performance by as much as 10.6 percentage points. These findings are consistent with the Adaptive Markets Hypothesis, which posits that the utility of technology depends on market volatility. Therefore, we suggest a precision banking model: a hybrid model in which stable areas would maintain linear efficiency, whereas shock-affected areas would use AI-powered risk detection to maintain the stability of agricultural credit in the post-war period

    3D Hologram in Futuristic Classroom: A Review

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    Holography is a photographic method that records the light dispersed from a body and then produces a realistic image identified as three-dimensional Holograms. The hologram reflects and transmits using a point source of incandescent light or two-channel transmission hologram. In the world of education, 3D holograms can be integrated into mixed reality classrooms to ease the teaching and learning process. The significance of this application is to enable the 21st Century learners to experience the realistic content via 3D Holograms, thereby improving their learning curves. This paper highlights the fundamental concepts of hologram and discusses the diversified implementations of hologram as a mixed reality simulator in the futuristic classrooms. Recent technological advancements in the field of education and evidence from successful implementation of the mixed reality approach in educational research has also been debated. However, the application of Holograms in education is still confined within boundaries

    Modeling of intangible assets development and improvement processes in the enterprise management

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    The economic fundamentals of intangible assets topicality, their development in the context of targeted operational and strategic planning of enterprises’ activities are described. The scientific and methodical approach was proposed to constructing a linear function of the enterprise’s intangible assets improvement and development plan, to estimating of the linear function plan adequacy to the input data, to determining of the optimal plan for a given set of factor characteristics, and to determining of the plan indicators’ reference values. The method of assessing the effectiveness of the enterprise’s intangible assets improvement and development plan is elaborated, which provides an opportunity to take into account all changes taking place in its informational-economic, intellectual, financial and organizational spheres

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    Periodicals of Engineering and Natural Sciences (PEN - International University of Sarajevo)
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