Modern information and communication technologies have intensively reformed the teaching process in higher education, expanding new opportunities for learning and access to educational resources, ...compared to those used in traditional learning. Taking into account the specifics of the application of these technologies in different scientific disciplines, the aim of this paper is to analyse the impact of the teachers’ scientific field on the effects of the application of these technologies in selected higher education institutions. The research included teachers from 10 faculties and three schools of applied studies, who provided answers to 20 survey questions. After the survey and statistically processed results, the attitude of teachers from different scientific fields to the effects of the implementation of these technologies in selected higher education institutions was analysed. In addition, the forms of application of ICT in the conditions during the Covid 19 pandemic were analysed. The obtained results indicate various effects, as well as certain shortcomings, in the implementation of these technologies in the analysed higher education institutions, provided by teachers that belong to various scientific fields.
Application of information and communication technologies (ICT) and e-learning in education system could serve as potential improvement of lectures and learning process. It is essential to introduce ...the ICT in teaching process as soon as possible because of rapid development of information systems and technologies. Hence, in this article an attempt was made to make a survey of possible aspects of application of ICT in teaching process. The main goal of the article was to encourage teachers to think about the way of application of ICT in lectures since it will be necessity in the future. ICT application in teaching process could have enormous possibilities for simulation, presentation and visualization of learning materials. The inclusion of ICT in teaching process poses great challenges for teachers and this article try to overcome the challenges.
•The concept of using information and communication technologies in the teaching process.•The imposition of new technologies can motivate students.•Visualization of materials that are the foundation of understanding.
In order to reduce cost of biodiesel production there is need to use non-edible oil. Kusum feed oil is non-edible oil, low cost and substantial available for biodiesel production. To improve Kusum ...biodiesel performance and emission parameters there is need to analyze input variables in more comprehensive way. It is suitable to establish computational models to obtain optimal parameters. The main goal of the paper was to establish and adaptive neuro fuzzy inference system (ANFIS) to determine the impact of blending, fuel injection timing, fuel injection pressure and engine load on brake thermal efficiency, unburnt hydrocarbons and oxides of nitrogen. It was found that the fuel injection pressure and engine load is the most influential factors on the brake thermal efficiency, unburnt hydrocarbons and oxides of nitrogen. The results could be useful for optimization of the Kusum biodiesel performance and emission parameters.
•To reduce cost of biodiesel production there is need to use non-edible oil.•Kusum feed oil is non-edible oil, low cost.•To obtain optimal parameters.•Fuel injection pressure and engine load is the most influential factors.
•Use of modern ICT in education enabled a special type of studying.•To provide the level of knowledge corresponding to the traditional learning.•Learning anytime, anywhere in the world.
Use of modern ...ICT in education enabled a special type of studying known as distance learning. This form of learning needs to provide the level of knowledge and competences corresponding to the traditional learning. The basic value of this form of learning is that it enables learning anytime, anywhere in the world, with the intensity selected by the students themselves, etc. Although this form of learning is in frequent use all over the world, only 18 higher education institutions in the Republic of Serbia accredited at least one study program for distance learning. This paper focuses on the faculties within the University of Priština temporary settled in Kosovska Mitrovica, and the aim of the paper is to analyze the present status of the use of e-learning on these faculties. The special focus is on the analysis of potential options for accreditation of the e-learning study programs at these faculties.
•Black tea production.•Fermentation is a crucial processing technique.•Black tea fermentation on the basis of convolutional neural network (CNN).
Concrete is an ecologically friendly substance in ...which green concrete is a revolutionary subject in concrete industry records. The emphasis of this study was on the impact of Tea Waste (CA) as natural fiber onhardened concrete characteristics as a substitution for cement. Taking account of CO2 generation in cement manufacture, green concrete decreases emissions of CO2 into environmental production to an environmentally-friendly technique of pollution prevention. C1, C2, C3, C4 were then made of concrete of a class of 1, 2, 3, 4 kg reinforced in 1 m3 mix, then prepared and molded 4 distinct concrete types. After 28 days, the flexural and compressive strength tests have been carried out in a proper curing environment on the concrete. The findings were evaluated using the adaptive inference system neuro-fuzzy (ANFIS) to accurately predictthe concrete flexural and compressive strengthwith low error rates. Finally, the reinforced concrete with tea wastes raised the water requirement, but reduced the compressive and flexural strength compared to control mix, however, it was raised while using up to 5.4 kg waste in 1 m3 concrete. The result showed that up to 5 kg of tea wastes in 1 m3 of concrete could also be utilized as natural fibers. Also, ANFIS could show its outperformance in analyzing test results in predicting the compressive and flexural strength.
Mathematics lectures could be very challenging task for the both, teachers and pupils, since there are large education material which should be acquired throughout 1 year. Therefore there is need to ...improve the lectures in order to make it more interesting and attractive for pupils especially. In order to find a way how to improve the lectures, there is need to make statistical analysis in order to detect which factors are the most dominant for the mathematics lecture performance. For such a purpose, in this study soft computing approach, namely, adaptive neuro fuzzy inference system (ANFIS) was used. The ANFIS should determine what the qualitative influence of the several factors on the mathematics performance is. The results confirm that the application for education software could produce the best results in mathematics lecture.
In this study, estimation capacities and optimization of a dye concentration sensing model by an adapted neuro-fuzzy inference system (ANFIS) as well as central composite design coupled with response ...surface methodology using a plastic optical fiber (POF) based sensor were investigated. Various diameters
of POF were used for sensing different concentrations of Remazol Black B (RBB), which acts as a sensing medium of the process. The efficiency of sensing was studied as a function of three independent variables: diameter of POF, concentration of RBB dye, and initial temperature of the solution. First, the independent parameters were fed as inputs to an ANFIS, and the output of the system was the output intensity of dye ratio to output the intensity of distilled water. ANFIS showed that this established model is reliable for a dye concentration sensing process and is mainly influenced by its diameter.
The study's major purpose was to find the best predictors for biodiesel efficiency based on emission variables and using jojoba oil as a fuel. Given the importance of biodiesel in reducing carbon ...dioxide emissions, a more thorough examination of such engines is required. As a result, the study's major goal was to use a selection technique to determine the best predictors for brake thermal efficiency (%), unburnt hydrocarbons (ppm vol.) and oxides of nitrogen (ppm vol.) of the biodiesel engine. For such a purpose several factors are selected and analyzed. The input variables are blending (%), fuel injection timing (obTDC), fuel injection pressure (bar) and engine load (%). The analyzing procedure was performed by adaptive neuro fuzzy inference system (ANFIS) and all available parameters are included. The ANFIS model could be used as simplification of the analysis since there is no need for knowledge of internal physical and chemical characteristics of the biodiesel engine. The results from the function clearly indicate that the input attribute “Engine load” (RMSE = 1.8002) is the most influential for the brake thermal efficiency. Furthermore, the input attribute “Fuel injection pressure” (RMSE = 4.2620) is the most influential for the unburnt hydrocarbons. “Engine load” (RMSE = 4.7484) is the most influential for the oxides of nitrogen. In this paper, an adaptive neuro fuzzy inference system (ANFIS) was used to develop a prediction approach for determining the influence of hydrolysis time, cellulase loading, b-Glucosidase loading, substrate loading and working volume on the enzymatic saccharification on the yield of glucose. The ideal combination of two input attributes or two predictors for enzymatic saccharification on glucose yield was discovered to be “substrate loading” and “working volume” (RMSE = 4.1625). The findings could be useful in reducing the cost of the procedure by optimizing enzymatic saccharification on glucose response yield.
•Biodiesel efficiency based on emission variables and using jojoba oil.•“Engine load” is the most influential for the brake thermal efficiency.•“Fuel injection pressure” is the most influential for the unburnt hydrocarbons.•“Engine load” is the most influential for the oxides of nitrogen.
This paper presented a survey of models for possible aspects of Internet marketing and online advertising. The aim of the survey was to improve the business of enterprises engaged in the wine ...production and wine marketing with special emphasis on the improvement of the sales process. By using the most recent literature and the data obtained, the survey deal with the Internet advertising, the advantages and disadvantages of the Internet as an advertising medium, the use of online advertising in the world and forms of internet advertising. Afterwards, the factors that influence the procurement of wine, as well as influential factors for making decisions on the purchase of certain wine varieties were examined. Decision-making process of consumers when buying wine was investigated as well. The paper consists of theoretical and empirical parts. The first part discusses the general overview of winemaking in the world. In the empirical part, the attitudes of consumers and managers of several wineries were examined, which are related to the application of internet marketing in the wine industry with key findings and new opportunities in the promotion of wine.
•Application of modern methods of Internet marketing and online advertising.•To improve the business of enterprises engaged in the wine production and wine marketing.•Decision-making process of consumers when buying wine.
To analyze the crop yield there is need to estimate the crop production. However, it is challenging task to control the crop production response because of different inputs. Fertilizer has a notable ...impact on crop yield. In order to analyze the fertilizers, it is suitable to establish a predictive approach to obtain optimal parameter for the best fertilizers. The main goal of the study was to establish a predictive approach by adaptive neuro fuzzy inference system (ANFIS) to determine the impact of temperature, humidity, moisture, soil type, crop type, nitrogen, potassium and phosphorous on the fertilizers prediction. There are five fertilizers which should be predicted by the ANFIS. The used fertilizers are: urea, DAP, 14-35-14, 28-28, 17-17-17, 20-20, 10-26-26. It was found that the “phosphorous” and “nitrogen” is the optimal combination of two parameters for the fertilizer prediction. The results could be useful for optimization of the crop yield response in order to reduce the cost of the process.
