Статьи журнала - International Journal of Modern Education and Computer Science
Все статьи: 1072
Modeling Interaction in the Educational Process is a Tool for Improving its Effectiveness
Статья научная
In the context of growing and widespread demand for higher professional education, an important aspect is the quality of the educational process and the effectiveness of its results. The educational process is a complex socio-economic phenomenon involving at least two parties – the teacher and the students. It is these subjects of the process that are the key elements and interact, as a result of which there is an increase in the amount of information that is transformed into a competency-based form. It is the acquisition by students of the competencies they need in their professional activities that is the goal of the educational process. As a result of the study, it was found that it is possible to optimize the educational process and fill it with the necessary educational elements through fuzzy modeling of the transmission and perception of educational information. The article proposes a model of fuzzy interaction between a teacher and a student group. The model is designed to determine the possibilities of optimizing the educational process and the optimal combination of educational elements. Educational elements include teaching materials, communication tools, and digital technologies. With the help of these elements and the pedagogical strategy, the transfer of educational information to students is carried out. The same means and motivation are used for the perception of educational information. It is important to find the optimal combination of educational elements and tools that contribute to the effective transfer and assimilation of educational information. Improving the effectiveness of interaction between teachers and students affects the quality of education. The quality of the educational process determines the level of students' training, the success of graduates' professional activities, and the professional self-realization of teachers. The interaction model makes it possible to improve the quality of the educational process. This is confirmed by the results of its application at Tver State Technical University.
Бесплатно
Статья научная
The article is dedicated to solving the problem of modeling and developing a computer simulator with the creation of working scenarios for training operating personnel in object detection. The analysis of the features of human operator activity is carried out, the model of his behavior is described, and it is shown that for the presented task, the following three levels must be taken into account: behavior based on abilities (skills), behavior based on rules, behavior based on knowledge. User models that are used in man-machine systems were created, and their use in the process of modeling operator activity from the point of view of regular and irregular exposure was shown. This made it possible to create a prototype of a graphical window using a user-friendly interface. A system model of human-machine interface for processing and recognition of visual information is mathematically described and a model of image representation based on three possible scenarios of their formation is formed. The result of the study was the software implementation of an effective educational tool prototype that accurately replicates real-world conditions for the formation of working scenarios. The conducted experimental research showed the possibility of general image recognition tests, selection of different test modes, and support for arbitrary sets of image test tasks. Further research will be aimed at expanding the functionality of the created prototype, developing additional modules, automatically generating scenarios and verifying work.
Бесплатно
Modeling and Predicting Students' Academic Performance Using Data Mining Techniques
Статья научная
The main objective of this study is to apply data mining techniques to predict and analyze students' academic performance based on their academic record and forum participation. Educational Data Mining (EDM) is an emerging tool for academic intervention. The educational institutions can use EDU for extensive analysis of students' characteristics. In this study, we have collected students' data from two undergraduate courses. Three different data mining classification algorithms (Naïve Bayes, Neural Network, and Decision Tree) were used on the dataset. The prediction performance of three classifiers are measured and compared. It was observed that Naïve Bayes classifier outperforms other two classifiers by achieving overall prediction accuracy of 86%. This study will help teachers to improve student academic performance.
Бесплатно
Modeling and Recognition of Software Applications using FSM
Статья научная
Finite State Machines (FSMs) are mathemati-cal abstractions which have a rich use in computer appli-cations. If we build a FSM for software, then it becomes much easier and simpler to understand, debug and modify. The insights developed in FSMs have had great influence on various domains. FSM is as important as any other computer science tool. This paper minimizes the gap which currently exists between software development and the formal method of theoretical com-puter science. So importance of FSMs has been explored over various such domains in this article. These domains include spoken web technology that enables a user to access a massive network of voice sites through speech. Information transfer protocol for Vehicular Computing is another domain, where users can get on road support services using vehicular sensors and global position system. Adding on to the domain list, we have modeled FSMs for Ankle Monitor and Sensor Dust which are applications of mobile ad-hoc networks. Ankle monitor is primarily used to track movements of an individual through wireless communication and Sensor Dusts are tiny sensors which monitor the environment in which they are deployed. We have also modeled Palm Operating System, which is a mobile OS that runs on Linux kernel. This paper presents the FSM for the booting sequence and the user interface of Palm OS. To conclude with we have taken up the domain of satellite simulation and have presented a FSM for the steps involved in Satellite launching and Image Handling within a satellite. Therefore, by modeling a range of applications using FSM we attempt to add-on to the significance of this concept and at the same time provide a single document comprising numerous FSM models. This concept can be used by software developers for easy modeling of their designs and can further use it to verify and debug the model whenever required.
Бесплатно
Modeling of Haze Image as Ill-Posed Inverse Problem & its Solution
Статья научная
Visibility Improvement is a great challenge in early vision. Numerous methods have been experimented. As the subject is random and different significant parameters are involved to improve the vision, it becomes difficult, sometimes unsolvable. In the process original image has to be retrieved back from a degraded version of the image which is often difficult to perceive. Thus the problem becomes ill-posed Inverse Problem. This has been observed that VI (Visibility Improvement) is associated with haze and blur. This complex nature requires probability distribution, estimation, airlight calculation etc. In this paper a combination of haze and blur model has been proposed with detail discussions.
Бесплатно
Modeling the effect of network access control and sensor random distribution on worm propagation
Статья научная
Sensor networks are appealing targets for malicious attacks that invade the network with the aim of depleting the confidentiality, availability and integrity (CIA) features/parameters of neighboring sensor nodes. This is due to its open communication, minimal resources and its deployment in un-trusted, unguarded and unfriendly terrains. To restrict illegitimate users or malicious attackers (such as worms) network analysts have suggested network access control (NAC). Specifically, we apply NAC to wireless sensor network epidemic models in order to investigate distribution density, transmission range and sensor area/field. Our analyses involved analytical expressions of two sensor fields gleaned from literature. Additionally, we explored the possibilities of infectivity of sensor nodes at the exposed class using the two expressions for sensor field topologies. We also derived the reproduction ratios and solutions at several equilibrium points for the models. It is our hope that that our work herein would impact sensor deployment decisions for organizations that utilize wireless sensor networks for meaningful daily activities.
Бесплатно
Modelling Online Admission System: A Multi-Agent Based Approach
Статья научная
We have proposed an integrated Web-based online admission system using multi-agent system and Web-based technologies. Every year, most of the Universities have to organise centralised admission for under-graduate courses of its affiliated colleges. The centralised online admission system is a major reform initiative in education sector to bring about greater transparency, efficiency and accountability in complicated and time-consuming admission process. It encompasses every institution under the university to accomplish the admission process where potential student community is involved. As a result of various agents’ involvement in the whole process, coordination and communication among them are the core issue which can be efficiently handled in a multi-agent environment. Thus dynamic behaviours of the agents reveal better results. Multi-agent systems represent a new paradigm for the development of distributed software. Preliminary implementation issues for this system have been discussed with Java Agent Development Environment Technology, a java-based software platform that provides middleware-layer functionalities which facilitate the development of agent-based application, at the end of the paper.
Бесплатно
Modelling of an Intelligent Geographic Information System for Population Migration Forecasting
Статья научная
A generalized model of population migration is proposed. On its basis, models of the set of directions of population flows, the duration of migration, which is determined by its nature in time, type and form of migration, are developed. The model of indicators of actual migration (resettlement) is developed and their groups are divided. The results of population migration are described, characterized by a number of absolute and relative indicators for the purpose of regression analysis of data. To obtain the results of migration, the author takes into account the power of migration flows, which depend on the population of the territories between which the exchange takes place and on their location on the basis of the coefficients of the effectiveness of migration ties and the intensity of migration ties. The types of migration intensity coefficients depending on the properties are formed. The lightgbm algorithm for predicting population migration is implemented in the intelligent geographic information system. The migration forecasting system is also capable of predicting international migration or migration between different countries. The significance of conducting this survey lies in the increasing need for accurate and reliable migration forecasts. With globalization and the connectivity of nations, understanding and predicting migration patterns have become crucial for various domains, including social planning, resource allocation, and economic development. Through extensive experimentation and evaluation, developed migration forecasting system has demonstrated results of human migration based on machine learning algorithms. Performance metrics of migration flow forecasting models are investigated, which made it possible to present the results obtained from the evaluation of these models using various performance indicators, including the mean square error (MSE), root mean square error (RMSE) and R-squared (R2). The MSE and RMSE measure the root mean square difference between predicted and actual values, while the R2 represents the proportion of variance explained by the model.
Бесплатно
Статья научная
Two-wheeled Self-balancing (TWSB) mobile robot is considered to be highly nonlinear and unstable dynamic system. Unstable means that the robot is free to advance forward or backward without any forces applied. It must, therefore, be controlled. The purpose of this work is to design an intelligent nonlinear Modified Integral Sliding Mode Controller (MISMC) based on simple Adaline neural network for balancing a two-wheeled self-balancing mobile robot, in addition to improve the performance of this robot in tracking the desired trajectory. The simple Adaline neural network is used to enhance the performance of the conventional Integral Sliding Mode Controller (ISMC) which is an effective and powerful technique because it has a high performance. Also, in this work, a Modified Particle Swarm Optimization (MPSO) and Modified Cuckoo Search (MCS) algorithms have been proposed to find and tune the best MISMC parameters and hence enhance the performance characteristics of the robot system by reducing the processing time as well as improving the response accuracy through minimizing the tracking error of the mobile robot. The Integral Square Error (ISE) method has been used as a performance index for the two algorithms (MPSO, MCS) to measure the performance of the proposed controller. Numerical simulations show the efficiency of the suggested controller by handling the balance and tracking problems of the two-wheeled self-balancing mobile robot.
Бесплатно
Modifying AODV to Reduce Load in MANETs
Статья научная
We propose a routing algorithm based on AODV approach. We have modified AODV algorithm to obtain better performance. At the same time, we have tried to maintain the features of AODV algorithm by maintaining a backward compatibility in our proposed algorithm. Our algorithm tries to reduce RREQ packets which are broadcasted in original AODV to find routing paths. For this purpose our algorithm uses a location aware approach to find distance to sink node. It also makes use of busyness of nodes while selecting nodes to participate in route discovery mechanism. Also this scaling factor and busyness threshold can be made fixed for each node in the network depending on size and characteristics of the network.
Бесплатно
Статья научная
Quantum-Dot Cellular Automata (QCA) is a radical technology, which works at Nanoscale. Due to its numerous advantages over the conventional CMOS-based digital circuits, researchers are now concentrating more on designing digital circuits using this technology. Researchers have reported various findings in this field till now. In this paper, a modular 2:1 Multiplexer has been designed followed by its application in the designing of 1-bit parallel memory. A 4:1 MUX is designed using cascading of two 2:1 multiplexers. This paper also incorporates a comparative analysis of the proposed circuits with some previous designs. This comparison indicates that the designed Multiplexer is showing a considerable reduction in cell count as well as in the area. Here the design and simulation of the circuits are done using QCA Designer Ver. 1.40. Power dissipation simulation analysis of the designed 4:1 multiplexer is also done using QCA Pro tool.
Бесплатно
Module of System Galactica with Coulomb's Interaction
Статья научная
The system Galactica of free access is supplemented module for the Coulomb interaction. It is based on a high-precision method for solving differential equations of motion of N charged particles. The paper presents all the theoretical and practical issues required to use this module of system Galactica so that even the beginning researcher could study the motion of particles, atoms and molecules.
Бесплатно
Статья научная
Online interactions provide a large knowledge exchange on variety kinds of information exchanged between users. There are many software systems available that provide online learning systems, this type of software expressed by forms, commercial or open source software. This paper is focused on Moodle, it explained the comparative study that done by many recent researches, it also shows the different between Moodle and other learning management systems, in order to discover their strengths and limitations, discusses different points in these systems. Moodle has been adopted by many universities and organizations the entire world because it offers a large accusable set of tools, and many components was developed without a specific design documentation including its security services. This paper shows the comparative study between Moodle and other e-learning systems; it aimed to discover the best and most suitable choice of e-learning system. We have fined the optimal e-learning platform required to our e-learning university system, and it is Moodle, according to the used by many Universities around the word and from many works that has been done to date that encourages the used and develops this type of LMS.
Бесплатно
Статья научная
This correlational study examined the effects of motivation in the process of learning and its connections to the academic achievement of the students who study at the Basic Arabic Schools in China. The designed tool, which is a questionnaire, consists of 40 items and had been processed by statistical analysis to contrived psychometric properties and it had been achieved through validity and reliability. The study acknowledged the cumulative scores of academic achievement of students for the last academic year, which was considered as one of the variables of the current study and compared to motivation to learn in the questionnaire sample of 30 students as well as the sample of the final study which covered all 242 students in the basic Arabic schools of the 7th, 8th and 9th Grades. The study found that there was a significant correlation between motivation to learn and academic achievement of students. It was proved through correlation and regression analysis that there was a positive relationship between motivation and academic achievement and the ability to predict the academic achievement through motivation. It had been found that the most motivated students are the ones who achieve higher academic performance. There were significant differences in motivation according to the gender in which females scored the highest means. Besides, no significant differences found in grade variables.
Бесплатно
Статья научная
In this study, we describe Information Systems students' decision making along their engagement with their final project regarding the complexity and innovations of their projects, and the technology they selected for the implementation. Data was gathered from projects' documentation; a questionnaire handed to the study participants, and from in-depth interviews conducted with representative group of them. Analysis of the data revealed that high achievers tend to develop innovative and complex final projects using major extensions of technologies learned in class while low achievers tend to develop simple and basic final projects using merely technologies learned in class or a minor extension of them. Surprisingly, some of the average and low achievers and none of the high achievers tended to use completely new technologies to gain relative advantage when applying for jobs, although this choice necessitated them to cope with large knowledge gaps.
Бесплатно
Статья научная
The VANETs carry many security concerns. One of the popular and dangerous attacks can be launched in the form of Sybil or Prankster attack, where an attacker inserts a fake position within in the cluster. The inserted fake node information can be utilized by the hackers in the case of selfish driver, traffic jams, selective collisions and other similar hazardous situations. To avoid such things the VANETs must be protected against such attacks. In this paper, a novel solution has been proposed to overcome the Sybil and prankster attacks on the VANETs. The new solution is capable of detecting the fake information injections by verifying the VANET node behaviour in the cluster. The behaviour of the node includes the direction, speed, pattern, etc. In case a node is found malicious, the whole cluster is reported against that node, and node is ordered to stop by the central control system. The proposed model has been developed using the random waypoint model. The random way point model is much closer to the real time VANETs. The random waypoint model has been compared against the reference point group model. The experimental results have shown the effectiveness of the proposed model.
Бесплатно
Статья научная
Today major section of automatic speaker verification (ASV) research is focused on multiple objectives like optimization of feature subset and minimization of Equal Error Rate (EER). As such, numerous systems for feature dimension reduction are proposed. This includes framework coaching and testing analysis for every feature set that could be a time esurient trip. Because of its significance, the issue of feature selection has been researched by numerous scientists. In this paper, a new feature subset selection procedure is presented. Hybrid of Ant Colony and Artificial Bee Colony optimized the feature subset over 85% thereby decreased the computational complexity of ASV. Additionally an external record is maintained to store non-dominated solution vectors for which concept of Pareto dominance is used. An overall optimization of 87% is achieved thereby improved the recognition rate of ASV.
Бесплатно
Multimodal biometric system based face-iris feature level fusion
Статья научная
This paper proposed feature level fusion technique to develop a robust multimodal human identification system. The humane face-iris traits are fused together to improve system accuracy in recognizing 40 persons taken from ORL and CASIA-V1 database. Also, low quality iris images of MMU-1 database are considered in this proposal for further test of recognition accuracy. The face-iris features are extracted using four comparative methods. The texture analysis methods like Gray Level Co-occurrence Matrix (GLCM) and Local Binary Pattern (LBP) are both gained 100% accuracy rate, while the Principle Component Analysis (PCA) and Fourier Descriptors (FDs) methods achieved 97.5% accuracy rate only.
Бесплатно
Nature-Inspired Swarm Intelligence and Its Applications
Статья научная
In 1989 Gerardo Beni and Jing Wang first proposed the name "Swarm Intelligence" in their paper "Swarm Intelligence in Cellular Robotic Systems". Some remarkable observations of different researchers are studied in this paper, like the proximity principle, the quality principle, the principle of diverse response, the principle of stability, the principle of adaptability. To enhance the capabilities of robot and different systems, researchers started to exploit the behavior of natural systems. Swarm groups are governed by three rules, move in the same direction as your neighbor, remain close to your neighbor, and avoid collision with your neighbor .Characteristics of swarm groups are emergence and stigmergy. Different insects like ants, wasps, termites carry out a work locally for global goal with sufficient flexibility as they are not controlled centrally. In this paper the existing research works are analysed to show the behavior in social insects by using self-organization, positive feedback, negative feedback, amplification of fluctuation, multiple interactions. It has also been observed that these insects are almost blind and memoryless, still they communicate indirectly among themselves for stigmergic effect by using pheromone. Implementation of swarm intelligence in robotics i.e., swarm robots are narrated. The limitations of swarm robots as well as factors behind the success of swarm robotics have also been encompassed. Finally authors focus on swarm robots applications in telecommunication fields, civil engineering and digital image processing.
Бесплатно
Networked Control System – A Survey
Статья научная
Networked Control System (NCS) is a synthetic application which combines control science, computer science and network technology. It is a kind of feedback control systems wherein the control loops are closed through real time control network. NCS technology is applied in industry control system because of its simple structure, easy maintenance and high reliability. Networked control systems (NCSs) have been gaining popularity with their high potential in widespread applications and becoming realizable with the rapid developments in computer, communication and control technologies. This paper reviews the development history of the NCS, and point out the field of further researches.
Бесплатно
