International Journal of Modern Education and Computer Science @ijmecs
Статьи журнала - International Journal of Modern Education and Computer Science
Все статьи: 1160
Adaptive Clustering Method for Panel Data Based on Multi-dimensional Feature Extraction
Статья научная
Aiming at the problems of large information loss and feature loss in the similarity design of high-dimensional panel data in clustering, a new panel data clustering method was proposed, which named an adaptive clustering method for panel data based on multi-dimensional feature extraction. This method defined "comprehensive quantity", "absolute quantity", "growth rate", "general trend" and "fluctuation quantity" of samples to extract features, and the five features were weighted to calculate the samples comprehensive distance. On this basis, ward method is used for clustering. This method can greatly reduces the loss of effective information. To verify the effectiveness of the method, cluster empirical analysis was conducted using GDP panel data from 31 regions in China, and the clustering results were compared with those of other clustering models. The experimental results showed that the proposed model was more interpretable and the clustering results were better.
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Adaptive Compensation of Unknown Actuator Failures for Strict-feedback Systems
Статья научная
Actuator failures are inevitable in practice especially in complex systems. The unknown failure may cause instability and catastrophic accidents during operation of control systems. A state feedback control scheme is proposed by using backstepping techniques. Compared with exist results, The uncertainties caused by total failure are seen as the bounded term and an estimator is designed to estimate its upper bound. The stability of closed loop system and output tracking performance can be guaranteed by our control law and corresponding update laws of uncertain parameters.
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Adaptive Framework to Manage Multiple Teams Using Agile Methodologies
Статья научная
The increased demand of agile methods results in challenging and unique problems, one of which is the unsuitability of agile methods for software development companies, particularly those with multiple teams. Secondly, agile methods are silent regarding how to achieve long-term organizational goals within the umbrella of agile software engineering. Considering these software industry problems, a new contemporary learning-based adaptive framework is proposed in the domain of agile methods. The proposed framework will help software companies to achieve long-term organizational goals. It is anticipated that the proposed framework will increase employee satisfaction by improving their technical skills and interpersonal communication capabilities using contemporary learning and knowledge-sharing activities. A survey is conducted from multinational software companies to validate the proposed adaptive framework, and the results are notably supportive and encouraging.
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Статья научная
The senior project stage in bachelor’s degrees represents an essential milestone in the learning process of a Computer Science (CS) student. The Senior Project Management System (SPMS) plays an important role in refining the quality of the resulting product and improving the learning experience of students. The CS department at King Abdulaziz University (KAU) has followed a well-defined system for managing senior projects since 2012. Systems evolve through time in response to encounters that unfold when the system is put to use. The administration of CS senior projects is no exception. In this paper, we present some incremental changes that have been introduced as refinements to the original system. This paper focuses on analyzing the data of the projects conducted during 2015 and 2016 in the Computer Science Department, Girls Main Campus (GMC) branch from the following perspectives: the project plan and deliverables at each milestone, and the provision of constructive mature collective feedback by the evaluating committee. These refinements are called addendums as they are additional steps to the SPMS and each step is monitored by using forms. This paper also describes some practices that support the SPMS along with the rationale behind their application. Evidence for the two addendums have been collected from analysis of the relevant forms. The analysis showed that the students benefited from the flexibility introduced by the milestone addendum as they made use of the new options. In addition, analysis of the forms of the feedback addendum showed that this documentation served as a means to gather the overall collective opinion of the committee members as opposed to the individual assessment of each member. Additional evidence was collected from evaluation committee members, by conducting a questionnaire. It showed that participants do benefit from the discussion promoted by the feedback addendum.
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Adoption of Blended Learning in Ghanaian Senior High Schools: A Case Study in a Less Endowed School
Статья научная
During COVID-19 pandemic, most tertiary institutions in Ghana were compelled to continue delivering of lectures online using internet technologies as was in the case of other countries. Senior high schools in Ghana were, however, not asked to do same, currently, the setting of most literature on blended or online learning in Ghana is focused on tertiary education. This paper situates the blended learning model in a less endowed senior high school to unearth the prospect of its implementation. The research provides an alternative to the traditional face-to-face learning, which is faced with the challenge of inadequate infrastructure, high number of students to class ratio, less compatibility with 21st learning skills and long-life learning in Ghana. A customed Moodle application as web application tool, hosted students online in both synchronous and asynchronous interactions. Purposive quota sampling size technique was used to select an appreciable sample size to fully go through the traditional face-face model for a term and then study through the blended learning model for another term. Students’ examination performances for both were analyzed with a paired t test statistical model. Interviews with participants were conducted to ascertain their evaluation of the blended learning model and questionnaires were also administered to discover the institutional, technological, and human resource readiness for blended learning in senior high schools. The analysis of the data gathered, proved that blended learning in senior high schools has high prospect and is better alternative to face-to-face learning in Ghana.
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Статья научная
To enhance undergraduates employment competitive advantages, communication and expression capability and team cooperation ability in engineering practice experiences, an experience training program is adopted to cultivate compound international talents of software development required by software companies. For the training program, knowledge spans and integration extent of teaching contents, implementation flow and flexible evaluation methods are also illustrated in detail. Especially during practical training project selected from software companies, students are guided to cooperate with team members to complete regular software development, which will improve their employment competence and make them fit for their future work more rapidly. With auxiliary experience training online teaching platform, three times of training program has been carried out successfully and a statistics table shows effects of the training program.
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Статья научная
In our modern era of Internet, mobile and digital information technology, adoption of innovative education strategies to the needs of the time is quite important particularly at private educational institutions which cater to economically affluent students who are becoming picky and often more interested in their distractions than in their studies. Ritsumeikan Asia Pacific University (APU) which was established in the year 2000 with an aim of becoming a hub for shaping the future of Asia-Pacific region by creating world class leaders in science, management, and economics through a bilingual curriculum, international under-standing, promotion of freedom, peace, humanity, and sensitiveness to the needs of the time, has integrated multimodal approach towards enhancing the quality of teaching and learning, and provides a total student support and care system. As a millennium university, it is equipped with state-of-the-art classrooms and tries to enhance its educational endeavors through proper use and efficient adaptation of educational technologies into its teaching pedagogies. However, due to being a private university and charging handsome tuitions fees, it has been attracting some of the most affluent students onto the campus, many of whom are often more interested in their distractions than in their studies. The decline in youth population and the economic slowdown in Japan have also adversely affected the quality of incoming students. This paper attempts to explain how APU tries to assure quality of their graduates despite the abovementioned problems through blended learning, peer knowledge sharing, adaptation of Blackboard (Bb, the most commonly implemented Web-based learning management system), portfolio, active learning, student support, academic advising, and by providing of a natural learning environment.
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Статья научная
Due to tremendous growth in communication technology, now it is a real problem / challenge to send some confidential data / information through communication network. For this reason, Nath et al. developed several information security systems, combining cryptography and steganography together, and the present method, ASA_QR, is also one of them. In the present paper, the authors present a new steganography algorithm to hide any small encrypted secret message inside QR CodeTM , which is then randomized and then, finally embed that randomized QR Code inside some common image. Quick Response Codes (or QR Codes) are a type of two-dimensional matrix barcodes used for encoding information. It has become very popular recently for its high storage capacity. The present method is ASA_QR is a combination of strong encryption algorithm and data hiding in two stages to make the entire process extremely hard to break. Here, the secret message is encrypted first and hide it in a QR CodeTM and then again that QR CodeTM is embed in a cover file (picture file) in random manner, using the standard method of steganography. In this way the data, which is secured, is almost impossible to be retrieved without knowing the cryptography key, steganography password and the exact unhide method. For encrypting data The authors used a method developed by Nath et al i.e. TTJSA, which is based on generalized modified Vernam Cipher, MSA and NJJSA method; and from the cryptanalysis it is seen that TTJSA is free from any standard cryptographic attacks, like differential attack, plain-text attack or any brute force attack. After encrypting the data using TTJSA,the authors have used standard steganographic method To hide data inside some host file. The present method may be used for sharing secret key, password, digital signature etc.
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Advances in Mechanics and Outlook for Future Mankind Progress
Статья научная
Three problems for the interaction between N bodies to which exact solutions were obtained are discussed. In the first problem, the bodies are located axisymmetrically in a plane. Possible trajectories of the bodies here are ellipses, parabolas, hyperbolas, or straight lines. Results of solving this problem are further used for solving problems about Earth's rotation and Mercury's perihelion. In the second problem, the body system consists of several layers, and it rotates as an entity. In the third problem, the bodies are uniformly distributed over a sphere, and they move experiencing no mutual collisions. The latter problem allows the formation of several planets, for instance, one hundred planets resembling the Earth and moving under identical conditions with respect to the Sun. The latter possibility opens a way toward unrestricted mankind progress.
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Age Dependent Face Recognition using Eigenface
Статья научная
Face recognition is the most successful form of human surveillance. Face recognition technology, is being used to improve human efficiency when recognition faces, is one of the fastest growing fields in the biometric industry. In the first stage, the age is classified into eleven categories which distinguish the person oldness in terms of age. In the second stage of the process is face recognition based on the predicted age. Age prediction has considerable potential applications in human computer interaction and multimedia communication. In this paper proposes an Eigen based age estimation algorithm for estimate an image from the database. Eigenface has proven to be a useful and robust cue for age prediction, age simulation, face recognition, localization and tracking. The scheme is based on an information theory approach that decomposes face images into a small set of characteristic feature images called eigenfaces, which may be thought of as the principal components of the initial training set of face images. The eigenface approach used in this scheme has advantages over other face recognition methods in its speed, simplicity, learning capability and robustness to small changes in the face image.
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Agent-based Modeling in doing Logic Programming in Fuzzy Hopfield Neural Network
Статья научная
This paper introduces a new approach to enhance performance in performing logic programming in the Hopfield neural network by using agent-based modeling. Hopfield networks have been broadly utilized to solve problems of combinatorial optimization. However, this network yielded a satisfiability problem because the network has grown larger, and it is more complex. Therefore, an improved algorithm has been proposed to enhance the Hopfield network’s capability by using the technique of fuzzy logic to provide more efficient energy relaxation and to avoid the local minimum solutions. Agent-based modeling has been introduced in this paper to conduct computer simulations, which aim at verifying and validating the introduced approach. By applying the technique of fuzzy Hopfield neural network clustering in the system, better quality solutions are produced, and the network is handled better despite the increasing complexity. Also, the solutions converged faster by the system. Accordingly, this technique of the fuzzy Hopfield neural network clustering in the system has produced better-quality solutions.
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Статья научная
The main goal of the work is to create an intelligent system that uses NLP methods and machine learning algorithms to analyse and classify textual content authorship. The following machine learning models for English and Ukrainian publications were tested and trained on the dataset: Support Vector Classifier, Random Forest, Naive Bayes, Logistic Regression and Neuron Networks. For English, the accuracy of the models was higher due to the more significant amount of text data available. The results for English fiction publication show that the Neuron Networks classifier outperforms the other models in all evaluated metrics, achieving the highest accuracy (0.97), recall (0.96), F1 score (0.98), and precision (0.96). It shows that Neuron Networks is particularly effective in capturing distinctive features of the writing styles of different English authors in scientific and technical texts. For the Ukrainian language, there is a drop in accuracy by 5-10% due to the smaller number of corpora of texts for teaching. The results for scientific and technical Ukrainian publications show that the Random Forest classifier outperforms the other models in all evaluated metrics, achieving the highest accuracy (0.88), recall (0.87), F1 score (0.87), and precision (0.87). It shows that Random Forest is particularly effective in capturing distinctive features of the writing styles of different Ukrainian authors in scientific and technical texts. Much worse accuracy results were shown by other models such as Support Vector Classifier (77%), Logistic Regression (73%) and Naive Bayes (70%). The results for the Ukrainian fiction publication show that the Random Forest classifier outperforms the other models in all evaluated metrics, achieving the highest accuracy (0.85), recall (0.84), F1 score (0.84), and precision (0.84). Much worse accuracy results were shown by other models such as Support Vector Classifier (77%), Logistic Regression (73%) and Naive Bayes (70%)
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Статья научная
This article deals with the problem of optimal resources allocation in reference to the area that is currently relevant in the Republic of Kazakhstan, the educational system and management issues in educational organizations in rapidly changing economic and social conditions. A model for the optimal resources’ allocation in the management of business processes that exist in educational organizations has been developed using the example of one of the key business processes. Such research methods as search, survey, Fishbone diagrams and heuristic methods were used. A computational algorithm was developed and the testing results on the suggested example were presented. Comparative analysis shows that the developed computational algorithm based on the application of the linear programming method results in the optimal resources allocation in the considered business process. The analysis of existing methods reveals their limitations, particularly in dealing with dependent operations. The research findings and approaches have practical implications for improving the management system and enhancing the quality of business processes in educational organizations. The algorithms and models developed in this study can be applied not only to solve load distribution issues among teachers but also to address resource allocation problems in other areas of educational institutions.
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All-Optical Parity Circuits Using Nonlinear Directional Coupler
Статья научная
Since in the previous existing optical designs, the electronic-optic-electronic conversion has not been completely eliminated. Construction of the optical circuits with nonlinear waveguides can overcome this drawback. We have developed a nonlinear directional coupler theory to describe novel all-optical parity circuits. By using three channels, appropriate adjusting of the refractive indices, and selecting the correct length for coupling event, even/odd parity circuits can be obtained. The operation of these circuits is simulated with the aid of RSoft CAD-Layout (BeamPROP) simulator. Towards the end of the work, we compared the speed of our proposed novel circuit with the existing optical designs and also electronic structure of which we have a better result.
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Ambiguity in question paper translation
Статья научная
Word sense ambiguity is a prevalent nature of machine translation for various language pairs including English-Hindi language. For example, the word "paper" has several senses which may refer to a question paper, research paper, newspaper, simple paper or a white paper. The specific sense intended is determined by the context in which an instance of the ambiguous word appears. This specific sense which is determined by the context is known as Word Sense Disambiguation (WSD). Translation of question paper is a specific application of MT wherein any type of ambiguity in question may affect the overall meaning of questions. This paper discusses types of ambiguity in the context of question paper translation (English to Hindi) and their impact on translation by analyzing a set of questions taken from National Council of Educational Research and Training (NCERT) and some other resources.
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An Adaptable E-Learning Architecture Based on Learners' Profiling
Статья научная
These days modifications and supplements to e-learning are not enough to make them successful since flexibility and adaptability is missing. Different e-Learning architecture provide different kinds of learning experience to the learners. The lack of adaptive system is due to "One size fits for all" concept. Currently the research is towards to learner oriented platforms putting student motivation, habits, expectations and learning styles (additional Koper, R.; Burgos, D (2005)). The concept of adaptation has become a prominent issue in e-learning. Systems allow the users to change some system parameters and adapt their behavior accordingly is known as adaption process. Systems that adapt based on the systems assumption are called as adaptive systems (additional santally mohammed issack). Since the system adapts to a person and personalizes the learning process it can be also known as personalized system (additional Paramythis, A.; Loidl-Reisinger). So to serve the learning community better there was a necessity to profile them and identify their requirements and provide an adaptive e-learning architecture which suits the individuals needs better. So the main objective of this research was to provide an adaptive e-learning system architecture which satisfies Felder Silverman learning style. Felder-Silverman's learning model [FSLM] was chosen since FSLM synthesis of these theories can be designed to easily translate them into strategies into a university setup.
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An Aligned Assessment Item Authoring Environment based on Interoperability Standards
Статья научная
Standard representations support sharing assessment items and learning objects among learning environments. Different standards have been developed to provide interoperability-based descriptions for all learning aspects. Designing assessment items or questions using standard representations became a key point in learning/teaching domain. This paper proposes an environment for authoring assessment items using a combination of standards linked together to align the produced questions. The environment consists of a set of tools. The first tool is dedicated for building question body using IMS (Innovation, Adoption, and Learning) QTI (Question and Test Interoperability) standards. An extension to IMS QTI was designed to represent question Intended Learning Outcomes (ILOs), difficulty degree, assessed concepts, and target groups. The second tool manipulates competency definitions bank which is used in representing assessment item ILOs. The third tool deals with target groups to whom question will be delivered.
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An Analysis of Application Level Security in Service Oriented Architecture
Статья научная
In computing, the software elements like objects and components emphasize on reusability using design tools of abstraction and separation of concerns. Software architecture has appeared as an initial idea to develop huge, complicated and heterogeneous distributed systems successfully. Service Oriented Architecture (SOA) combines services together to make systems having a greater impact on the way software systems are developed. SOA addresses the need of standards-based, loosely connected, and distributed computing which is protocol independent. It is not easy to ensure the secure transaction of data, where the movement of data occurs through loosely connected services. A number of techniques have been proposed in the contemporary literature to guide the SOA implementation in distributed system. These techniques offer certain benefits, but pose some challenges alongside such as the use of meta-data as framework and standard, contract documents, security patterns and security adviser, etc. The objective of this research is to provide a comprehensive analysis of various approaches used to provide application level security to the web services in SOA. These approaches have been compared based on a number of parameters. In addition, we critically evaluate different security methods used in SOA. The study also discusses some future directions in this domain.
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An Analysis of Performance Testing in Distributed Software Applications
Статья научная
Testing is a crucial step in designing and implementing software in the distributed environment. Testing in the distributed applications is not only difficult, but also a costly method. This Research briefly discusses the performance testing in the distributed software environment along with different other testing techniques proposed in the literature that correspond to distributed applications. Additionally, we discuss the key testing challenges faced during the whole process of testing the distributed applications. Much of the focus of this paper is on intelligent agent-based testing. Agent based testing is provide better coordination mechanism between multiple testers and exert more controllability and observablility on fault detection. In this study we have critically analyzed testing methodologies being practiced in the distributed environment. We have studied the merits and limitations of these methodologies proposed in the contemporary literature and have identified the possible improvements in those methodologies to make them more robust.
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An Analysis on Digital Watermarking in Videos based on Frequency Domain Techniques
Статья научная
As Watermarking have been considered as an emerging technique for copyright protection, data security and protection of ownership, several techniques and algorithms have been developed and created either in spatial domain or frequency domain mainly to achieve the properties of digital watermarking like robustness, imperceptibility, fidelity, etc. It is also found that the frequency domain techniques provides a better solution in obtaining these properties than the spatial domain. So, most researchers have used this domain in developing a good watermarking scheme for achieving robustness and other important properties of digital watermarking against all kinds of intentional and unintentional attacks. The attacks may include image processing attacks like compression, frame dropping, piracy, geometric distortions, loss of quality, etc. So, utmost importance must be given on how to create a scheme which can achieve robustness against all these attacks at the same time. The medium for watermarking is chosen as video because of its vast future scope So, in this paper, a thorough research on the various techniques available in watermarking based on frequency domain has been done to find out a secure technique that can withstand any kinds of attacks in a digital video.
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