International Journal of Modern Education and Computer Science @ijmecs
Статьи журнала - International Journal of Modern Education and Computer Science
Все статьи: 1112
Implementation of gray level image transformation techniques
Статья научная
Gray level transformation is a significant part of image enhancement techniques which deal with images composed of pixels. The outcomes of this process can be either images or a set of representative characteristics. It effects is simple but complicated in its implementation. Recently much work is completed in the field of images enhancement with varying observable techniques. This paper describes how to enhance an image using different gray level techniques and a demonstration of its implementation. PPI Analyzer, a kind of software created to implement the various techniques is based on explosive phenomenon of MATLAB. The implemented program with interactive interface to allow for relaxed modification, presented encouraging results.
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Implementing WAI Authoring Tool Accessibility Guidelines in Developing Adaptive Elearning
Статья научная
Adaptive learning technology allows for the development of more personalized online learning experiences with materials that adapt to student performance and skill level. The term “adaptive” is also used to describe Assistive Technologies that allow the usability of online based courses for learners with disabilities and special needs. Authoring tools can enable, encourage, and assist authors in the creation of elearning content. Because most of the content of the Web based adaptive learning is created using authoring tools, they may be accessible to authors regardless of disability and they may support and encourage the authors in creating accessible elearning content. This paper presents an authoring tool designed for developing accessible adaptive elearning. The authoring tool, dedicated to Algerian universities, is designed to satisfy the W3C/WAI Authoring Tool Accessibility Guidelines (ATAG), and to allow collaboration functionalities among teachers where building elearning courses. After presenting the W3C/WAI accessibility guidelines, the collaborative authoring tool is outlined.
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Improve Abstract Reasoning in Computer Introductory Courses
Статья научная
Due to the elevated programming courses' failing rate in our department (45%) an action research was initiated. As part of this action research, that was performed during four semesters several course structures and learning tactics were examined. The evaluation methodology was simple and based only on the percentage of failing students. The success achieved was attributed to two main factors (1) using a visualization environment (Micro-world) for the whole duration of the course, which helped in understanding the more complex and abstract issues, and (2) using individual assignments that enforced better learning habits and development of individual algorithmic thinking. The paper describes the various attempts, as well as the final structure, that reduced the failing students by over 77%.
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Improve Teaching Method of Data Mining Course
Статья научная
It is clearly perceived that most of theoretical information we teach to students are lost after graduation, mostly because abstract information do not last in students' minds much longer than the final exams, as they are not related to practical aspects and uses. Though labs are useful, they are not enough as they only offer exercises, but the course benefits will highly increase if students implement theories and exercises on a real life project. Data mining (DM) is one of the core courses which Information Systems students start to use after graduation once they start their career life. This paper focuses on improving the teaching ways of the course we shall implement, in order to attain a better understanding and comprehension by the students to make it more useful in their future real life careers, and it demonstrates the improvements in students' marks average after applying main concepts to real data
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Статья научная
Big data such as social network data, financial data, and disease data have multiple dimensions that are more complicated to interpret by the human brain. In this regard, the concept of three-dimensional metaphor-based information visualization and navigation has become very important for big data visualization. The three-dimensional visual metaphors can be used to represent information allowing dealing with more abstract data of larger volumes. Therefore new three-dimensional metaphors are needed for the visualization of multidimensional attributes into easily readable and understandable forms. When compared with 2D data representations, 3D brings many advantages in complex data visualization. But most of the existing 3D visualizations result in complex Graphical User Interfaces that require high cognitive efforts to clearly understand these datasets. Therefore this paper presents a novel 3D user interface metaphor for visual analytics of multidimensional data which leads to drawing better conclusions on the datasets. The proposed system represents information in a more realistic 3D setting. The concept of the 3D water fountain metaphor is adopted to implement the novel data exploration mechanism in 3D space. This paper provides an outline of the proposed conceptual design. Employing a Vector-Borne Disease dataset as a case study, a proof-of-concept prototype based on this conceptual design is developed. The applicability of the conceptual metaphor is showcased through two distinct experiments, each involving four groups engaged in decision-making scenarios within the realm of multidimensional data visualization. Key findings reveal that 85% of the data analysis tasks were efficiently completed using the proposed 3D metaphor. Notably, user satisfaction levels including feedback on learnability, interface aesthetics, ease of use, and overall user experience were graded high. These key findings of the evaluation underscore the heightened potential of 3D user interface metaphors for facilitating visual analytics of multidimensional datasets.
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Improved PSO tuned Classical Controllers (PID and SMC) for Robotic Manipulator
Статья научная
Due to simplicity and robustness, classical PID and SMC have been still widely used in practical applications. Performance of these controllers (PID and SMC) depends upon the value of some of the constant controller parameters. To avoid the most commonly used tedious trial and error method, this paper proposes an improved PSO based method for getting the optimized value of these parameters. For validation purpose these improved PSO tuned Proportional Integral Derivative (PID) and Sliding Mode (SMC) classical controllers have been applied for the motion control problem of the robotic manipulator. The chattering problem of SMC has been handled by using pseudo sliding function. Further results have been analyzed by comparing them with the basic conventional controllers. Results and conclusions are based on simulation results.
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Improved architecture of focused crawler on the basis of content and link analysis
Статья научная
World Wide Web is a vast, dynamic and continuously growing collection of web documents. Due to its huge size, it is very difficult for the users to search for the relevant information about a particular topic of interest. In this paper, an improved architecture of focused crawler is proposed, which is a hybrid of various techniques used earlier. The main goal of a focused crawler is to fetch the web documents which are related to a pre-defined set of topics/domains and to ignore the irrelevant web pages. To check the relevancy of a web page, Page Score is computed on the basis of content similarity of the web page with reference to the topic keywords. URLs Priority Queue is implemented by calculating the Link Score of extracted URLs based on URLs attributes. URLs queue is also optimized by removing the duplicate contents. Topic Keywords Weight Table is expanded by extracting more keywords from the relevant pages database and recalculating the keywords weight. The experimental result shows that our proposed crawler has better efficiency than the earlier crawlers.
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Improvement in Cardiovascular Disease Prediction and Control Based on Optimized Deep Learning
Статья научная
The analysis of medical data plays a critical role in improving diagnostic accuracy, refining research methodologies, and informing decisions regarding the allocation of medical resources, particularly for critical diseases. Artificial intelligence (AI) provides essential tools for analyzing such data to generate reliable predictions. This study proposes a predictive framework for cardiovascular disease that utilizes key risk factors through a hybrid model combining an Improved Particle Swarm Optimization Algorithm with Mutation Criteria (MPSO) and a Recurrent Neural Network-Long Short-Term Memory (RNN-LSTM) architecture. The model's performance was evaluated on two datasets: one from the University of California Irvine (UCI) Machine Learning Repository and another comprising real-world data collected from Baghdad Medical City Hospital and Ibn al-Bitar Hospital. The proposed framework achieved high predictive accuracy, with Data1 yielding an accuracy of 98.36%, precision of 98.48%, sensitivity of 98.48%, and specificity of 98.21%. Data2 demonstrated an accuracy of 98.75%, precision of 100%, sensitivity of 94.12%, and specificity of 100%. These results indicate that the model generalizes effectively across datasets and outperforms state-of-the-art methods in predicting cardiovascular disease, as evidenced by robust performance metrics.
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Improvement in Copy -Move Forgery Detection Using Hybrid Approach
Статья научная
In this present digital world, digital pictures and videos are the main sources of information. However, these carriers of information can be easily tampered by using softwares such as Adobe photoshop, GIMP etc. Thus, the issue of verification of authenticity and integrity of digital images becomes necessary. Copy Move Forgery is a popular type of forgery that is commonly used for the manipulation of digital images. In this, a region of digital image is copied and then pasted to another location with in the same image with intension to make an object disappear from an image by covering it with small block copied from another part of the same image. There are several post processing operations that are applied by manipulators to obstruct the forgery detection techniques. Thus, for aforementioned problem, we in this paper proposed a method which is a combination of SIFT and SURF algorithms. In this firstly image is split in to sub-parts by DWT method and then SIFT and SURF are applied to actual components of image one by one. After this, features extracted by both methods are matched to locate the forged part in the image. The experiment shows that the proposed method is more efficient and provides better results than applying SIFT and SURF alone.
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Статья научная
Designing interactive question-response systems has become an important challenge in Artificial Intelligence which aims to build a computer program, referred to as Chatbot, able to manage an online human-computer conversation with natural language. The number of chatbots continues to increase these recent years using different languages, tools and platforms and has been used in several domains, such as marketing, education and medicine. One of the most important issues in designing chatbots is its degree of interoperability with human natural language. In this context, we propose in this work a new messenger chatbot design approach based on Wit.ai and Word Sequence kernel in order to improve semantics. Wit.ai is used to detect contexts and concepts while the Word Sequence Kernel is used as a similarity measure between textual conversations taking into account the order of appearance of words in the conversation. A testing educate chatbot has been build which aims to provide FAQBot system for university students and acts as undergraduate advisor in student information desk. The performance of the proposed chatbot was compared to conventional messenger chatbots and showed better results.
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Статья научная
Pioneering ideas from the software engineering discipline have factually affected every sphere of life. Agile software development approach has been promoted since its commencement and stipulates strategies that improve the quality of software product. To consummate fast and reliable development processes, several agile approaches are charted and are quite popular. For quality improvement and to achieve defect free system, the concept of Cleanroom Software Engineering (CSE) is ingrained into agile development life cycle. For embedding users concerns, it is important to distinguish three approaches to quality: Quality of Service (QoS), User-perceived QoP, and Quality of Experience (QoE). QoS is technology centered approach, so by using Incremental Planning of CSE, it shall facilitate the customer's clarification of system requirements and will control the technical complexity. Usage Specification and Usage Modelling will be used during the Certification phase of CSE which will help to achieve QoP and QoE, being user centered approaches. Results collected from Survey conducted, explains above mentioned factors improvement.
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Improving Teaching Methodology in System Analysis and Design using Problem Based Learning for ABET
Статья научная
System Analysis and Design is an active field that demonstrates continuously new techniques and approaches to develop systems more effectively and efficiently. Teaching System Analysis and Design courses are thus quite challenging for many reasons, such as rapid changes in the environment, changes in the nature of technology, demands and needs of the industry and new market trends. These factors will have a direct effect on the students learning and their effectiveness in the place of work. This paper examines this trend and considers Problem Based Learning as the best methodology to respond to them. It will improve the students understanding of the concepts, ideas and thus enhance their learning experience. This paper also examines the level of achievements in the course learning outcomes as outlined by Accreditation Board for Engineering and Technology.
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Improving the Efficiency of Term Weighting in Set of Dynamic Documents
Статья научная
In real information systems, there are few static documents. On the other hand, there are too many documents that their content change during the time that could be considered as signals to improve the quality of information retrieval. Unfortunately, considering all these changes could be time-consuming. In this paper, a method has been proposed that the time of analyzing these changes could be reduced significantly. The main idea of this method is choosing a special part of changes that do not make effective changes in the quality of information retrieval; but it could be possible to reduce the analyzing time. To evaluate the proposed method, three different datasets selected from Wikipedia. Different factors have been assessed in term weighting and the effect of the proposed method investigated on these factors. The results of empirical experiments showed that the proposed method could keep the quality of retrieved information in an acceptable rate and reduce the documents' analysis time as a result.
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Improvised Scout Bee Movements in Artificial Bee Colony
Статья научная
In the basic Artificial Bee Colony (ABC) algorithm, if the fitness value associated with a food source is not improved for a certain number of specified trials then the corresponding bee becomes a scout to which a random value is assigned for finding the new food source. Basically, it is a mechanism of pulling out the candidate solution which may be entrapped in some local optimizer due to which its value is not improving. In the present study, we propose two new mechanisms for the movements of scout bees. In the first method, the scout bee follows a non-linear interpolated path while in the second one, scout bee follows Gaussian movement. Numerical results and statistical analysis of benchmark unconstrained, constrained and real life engineering design problems indicate that the proposed modifications enhance the performance of ABC.
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Increasing Teacher Competence in Cybersecurity Using the EU Security Frameworks
Статья научная
A study was undertaken to identify the missing skill and expertise of teachers and other stakeholders in the field of EU cyber security regulatory documents and frameworks. In order to increase the knowledge in this area and promote the EU security frameworks the model for the continuous building of teacher competence has been proposed and planned to be implemented in Ukraine. The proposed model will contribute towards improving the excellence of educators and academics, as well as increase competitiveness of educational programmes on cybersecurity among similar institutions in the EU countries. Various studies focused on the development of competence of the students to prepare them for the job market and build a comprehensive portfolio, education-business partnerships and collaboration. However, the issue of developing teacher expertise to achieve high quality of education remains open. We highlighted the importance of creating a cybersecurity ecosystem through the cooperation with different stakeholders and by implementing the model for continuous development of teacher competence. Before building the model the overview and analysis of different teacher professional development approaches were conducted. Analysis showed that for our goal the best suitable approach is a model that consists of two stages based on self-education and group education approaches with 7 processes inside. The study revealed that competence may be achieved through a number of activities which may be grouped under four generic categories: student and staff training, academic and business seminars, business-oriented roundtable debates, and research. The model uses as main methods of achieving a better quality of education in cybersecurity the development of new training courses and modernization of educational programs, and for raising awareness among businesses and regulatory bodies - the workshops and roundtables.
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Статья научная
Disruption era had affected to every sector, including higher education sector. Between 2015 and 2019, more than 130 private university were closed for a different of reasons. Basically, they are not ready to face the change. Innovation disruption created new situations, thus created new demand while destroying prior situations. Many businesses collapsed suddenly because they are not aware of the inflection point that suddenly destroys the business model that has been run for years. Nevertheless, the current situation gave hints to new thoughts, including the development business model called infinite game theory. This paper examined how strategic inflection points can have occurred in the higher education sector and the infinite games model can be an alternative strategy in order the higher education sector withstand disruptive innovation era.
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Indonesian Universities Readiness in Providing Professional HR in Geospatial Information
Статья научная
The need for geospatial data and information for development planning is major and inevitable at this time. Economic and social development requires the creation of a prosperous society in terms of meeting the adequacy of life and the extent to which environmental sustainability is maintained. The need to achieve both economic and social development goals requires data and information that can be provided by geospatial information. The question is how much is the opportunity that provides benefits for the community responded well by universities (PT) that provide experts in the field of geospatial information? To answer these questions, this research: 1) analyses the PT readiness from the aspect of human resource development in the field of geospatial information; 2) assess how much the ability of universities to provide experts in the field of geospatial information. The results of the study show that PT curriculums in Indonesia are fit with tiers 1 and 2 geospatial HR competencies in accordance with the DOLETA curriculum, and development is needed to meet levels 3 to 9. In terms of HR capabilities of the 41 PTs that carry out geographic education, only 2 PTs produce Geospatial HR. The paper offers e-learning or distance education is one of the approriate solution to fill in the gap between need and availability of Professional HR in Geospatial Information.
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Induction of Interactive Methods to Teach Software Engineering Course
Статья научная
Software engineering (SE) field is considered as a backbone of software industry. Students suffer many problems and difficulties when they approach to industry due to the old contents of SE course, lack of practice and inability in the subject area. The main reason of the SE course problems is the lack of coordination or gap between software industry and academia. This paper proposed a novel solution to enhance SE curriculum to bridge the gap between industry and academia. The proposed solution will assist students at optimal level in their professional careers to achieve goals of SE course. Survey research methodology is used to evaluate the proposed solution and the results of data analysis are highly encouraging. It is anticipated that the universities will find this research helpful to improve the quality of SE course.
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Статья научная
The phenomenon of product/business failure, as well as lack of environmental sustainability and learning limitations, is fast becoming a recurrent ‘disease’ for investors, designers, design sponsors and education policy makers in many developing countries with poor persuasiveness contributing a large quota to such failures. This has greatly hampered the education, poverty alleviation and developmental efforts of the governments of such societies. In a bid to curb this negative trend, children, who are major influencers in product purchase behaviours of adults, have been targeted specifically by persuasive designers, in an effort to both educate and adopt them as means of reaching the larger populace. However, most researches in current persuasive system designs are limited to the information communication/management technology or computerized environments. These systems are technology/internet-driven and many potential users, in reality, in the developing world, unlike the rest of the world is often made to believe, do not have open access to such systems. Unfortunately, the effectiveness of any persuasive system is dependent on its accessibility to its user(s). Technological backwardness (often concealed behind ostentatious self-deceptive facades) has led to the poor persuasiveness of local persuasive systems and products in the third worlds. Therefore, adopting a mixed method for establishing the factor(s) limiting the efficiency of the computer/electronic-human interaction persuasive systems (CHIPS) in South-West Nigeria (N=900), this study established the need to adopt more of the product/entity-human interaction persuasive system (PEHIPS) as an effective alternative for third world countries as, based on the study outcomes, the CHIPS proved less relatively effective in comparison to PEHIPS in rural regions. It however recommends the alternating adoption of a combination of both computerized and entity/product driven systems for the purpose of optimizing persuasive effectiveness in developing worlds.
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Information Culture Formation as the Most Promising Direction of Individual`s General Culture
Статья научная
The essence, structure, formation and conditions of culture have been investigated in the article. The types of culture have been studied in accordance with the development stages of civilization and different spheres. Various approaches on information culture as a part of common culture of a human have been analyzed. The formation issues of personal information culture have been reviewed according to the requirements of information society as a new development stage of a society. The features of human behavior in the virtual environment have been examined. The influence of education, profession and activity peculiarities on the formation of personal information culture has been investigated.
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