Статьи журнала - International Journal of Education and Management Engineering
Все статьи: 613
Development of Two-factor Authentication Login System Using Dynamic Password with SMS Verification
Статья научная
Two-factor authentication is a method of security that adds an extra layer of protection by requiring users to have two different authentication factors to verify identity. In recent years, institutions and organizations have become more concerned with the security aspects of their networks and systems, and one of these aspects is ensuring that the individual seeking access to the system is who he claims to be. With the advancement in technology and science over time, it has been seen that the safety and security of sensitive information or data transferred over the internet from one network to another has become increasingly relevant. The reliance on access to login accounts and the use of static passwords makes it easy for hackers, identity thieves, and fraudsters to gain access. Therefore, there is a need to find solutions to overcome the weaknesses to provide a more secure environment, hence, adding another step of authentication to individual identity makes it more difficult for an attacker to gain access to personal data. The proposed system generates dynamic password (OTP), which helps to add another level of security to the system against Dictionary attack, Brute-force attack especially Perfect-Man-In-The-Middle attack. The project used the Obafemi Awolowo University (OAU) e-portal login system as a case study. The system was implemented using the MySQL, CSS, HTML and PHP programming language and evaluated using reliability, effectiveness, efficiency, usability, expediency, and satisfactoriness as metrics. A questionnaire was formulated using a rating scale of 1 - 5, with 1 representing extremely poor and 5 representing excellent. The questionnaire was given to twenty (20) randomly selected students of OAU. The average score was determined and all the metrics scored higher than 4.0, which signifies a good rating. The system developed is a useful starting point for future development in security applications that require two-factor authentication. The result show that with the developed system, it can be assured that all logins are legitimate and that users are safe by verifying that the individual seeking access to the system is who he claims to be. A more user-friendly GUI is planned for the future and expanding the OTP algorithm such that password can be generated based on different cryptographic functions.
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Статья научная
The accuracy of population forecasts is one of the most important calculations in demography statistics. However, traditional demographic methods used in population projections are tend to produce biased results. The need for accurate prediction of future behavior in a number of areas require the application of reliable and efficient methods. Recently, machine learning (ML) models have emerged as a serious competitor to classical statistical models in the forecasting community. In this study, the performance and capacity of the four different ML models such as Random forest (RF), Decision tree (DT), Linear regression (LR) and K-nearest neighbors (KNN) to the prediction of population has been examined. The aim of the study is to find the best performing regression model among these machine learning algorithms for forecasting of population. The data were collected from the State Statistical Committee of the Republic of Azerbaijan website were used for the analysis. We used five metrics such as mean absolute percentage error (MAPE), mean absolute error (MAE), root mean squared error (RMSE), mean square error (MSE) and R-squared to compare the predictive ability of the models. As the result of the analysis, it has been known that the all ML models showed high results with correlation coefficient of 0.985 - 0.996. Also the KNN and RF prediction models showed the lowest root mean square deviation, means square error and mean absolute error values compared to other models. By effectively using the advantage of the ML algorithms, the forecast of population growth the near future can be observed objectively, and it can provide an objective reference to the strategic planning in the public and private sectors, particularly in education, health and social areas.
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Development of relevance feedback system using regression predictive model and TF-IDF algorithm
Статья научная
Domain-specific retrieval systems developed for a homogenous group of users can potentially optimise the recommendation of relevant web documents in minimal time as compared to generic systems built for a heterogeneous group of users. Domain-specific retrieval systems are normally developed by learning from users’ past interactions, as a group or individual, with an information system. This paper focuses on the recommendation of relevant web documents to a cohort of users based on their search behaviour. Simulated task situations were used to group users of the same domain. The motivation behind this work is to help a cohort of users find relevant documents that will satisfy their information needs effectively. An aggregated implicit predictive model derived from correlating implicit and explicit feedback parameters was integrated with the traditional term frequency/inverse document frequency (tf-idf) algorithm to improve the relevancy of retrieval results. The aggregated model system was evaluated in terms of recall and precision (Mean Average Precision) by comparing it with self-designed retrieval system and a generic system. The performance of the three systems was measured based on the relevant documents returned. The results showed that the aggregated domain-specific system performed better in returning relevant documents as compared to the other two systems.
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Diagnosis of Skin Cancer Using Machine Learning and Image Processing Techniques
Статья научная
Skin Lesion is a part of the skin that can be caused by abnormal growth in the epithelium layer on the skin. There are nine types of skin lesion like Actinic Keratoses (AK), Basal Cell Carcinoma (BCC), Dermatofibroma (DF), Melanoma (MEL), Melanocytic Nevi (MV), Benign Keratosis (BK), Vascular Lesions (VASC), Squamous Cell Carcinoma (SCC), and Pigmented Benign Keratosis (PBK). The aim of this study is to spotlight on the problem of skin lesion classification based on early detection of the disease using deep learning techniques. This approach is used to work out the problem of classifying a dermoscopic image. The dermoscopic is a digital device; in this case Smartphone is attached to a lens and collects the images through the device. The proposed spotlight is built in the region of using Convolutional neural network architecture and ResNet-50 module is used to predict Skin-Lesion classification. The dataset used in this research was taken from kaggle repository. The proposed work uses ResNet-50 CNN model which has yielded 93% of accuracy for detecting Skin Cancer, previous work was carried out using Visual Geometry Group model which yielded 73% accuracy. In the proposed work we have considered 25,000 images of skin lesion. Hence we are able to attain this accuracy with more reliable Machine Learning algorithms compared to the previous work.
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Digital Audio Watermarking Based on Artificial Neural Networks
Статья научная
A digital audio watermarking based on artificial neural networks is proposed in this paper. Utilizing the learning and adaptive capabilities of artificial neural networks, the relationship between audio signals and embedded watermark is established by using the important characters of audio signals as the input vector of artificial neural networks, and the watermark were embedded into original audio signals without modifying the audio data. The experimental results show that the embedded watermark is robust to audio signal processing, and the watermarking method does not require the original audio signals for watermarking extraction.
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Discovery and Practice of EDA Experimental Teaching Reform
Статья научная
EDA experiment is one of practical, professional and highly specialized basic application courses in electronic communications professional, how to use EDA laboratory? How to carry out EDA experimental teaching in order to improve teaching effectiveness? These are issues by EDA teaching staff to think and explore. In this paper, with the shortcomings and deficiencies of experimental teaching of traditional EDA, combined the teaching practice of Weifang University, proposed experimental teaching reform thinking of EDA with teaching system systematic, open and teaching methods, teaching evaluation comprehensive, complete security system experiment.
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Discussion Reform of Forestry Panorama Course Teaching
Статья научная
The existing problems such as teaching materials, teaching methods and assessment links of the forestry panorama course teaching are pointed out and some solutions to the problems in thinking are put forward. In addition, the importance and curriculum of the forestry panorama as an entry and enlightenment course is emphasized. The main goal of this paper is to make positive exploration for further deepening reform of course teaching and cultivate high-level forestry talents, and it is hoped to improve course teaching.
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Discussion on Domestic Universities Construction of Digital Teaching Platform
Статья научная
With the rise of Digital Campus 2.0, the construction of digital teaching environment based on multimedia technology, network technology and modern education technology, has gradually become the mainstream of domestic higher education. According to the educational features of colleges and universities, the digital teaching system accessible to spread over should be created in the base of summing up former experiences. This paper points out the existent problems in recent construction process and proposes specific solutions and aims of this construction. Furthermore, it analyzes the main contents of the environment construction, resources construction, team construction and mechanism construction of digital teaching platform.
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Discussion on Teaching Pattern of Cultivating Engineering Application Talent of Automation Specialty
Статья научная
This paper presents some methods to improve teaching pattern of automation specialty to overcome the existing problems in the applications of traditional teaching pattern. These methods include bilingual teaching, class teaching, network teaching and innovation practice teaching. All of these construct a multi-level and stereoscopic teaching pattern, which gives some effective way to cultivate high level creative talented person of automation specialty. The application of the presented teaching pattern in actual teaching practice proves its effectiveness.
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Discussion on Teaching in Computer Course of Information and Computing Science
Статья научная
The information and computing science is the cross-disciplinary of mathematics, information science, planning and control and computing science. The author summarized the experiences through several years teaching practice, analyzed the current situation of the speciality with the actual situation, pointed out some problems in professional curriculum and students’ learning , presented some opinions on o guiding principles in teaching, teaching content and teaching methods . Teachers should play the advantage that the students of this specialty with a solid theoretical foundation in mathematics, content some classic mathematics problems into study of programming languages, combine the computer theory with mathematical theory, optimize the curriculum design subjects , penetrate ideas and methods of software engineering into the teaching experiment. Under the guidance of these opinions, we have gotten some good teaching results.
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Distributed ledger management for an organization using blockchains
Статья научная
In the financial systems of the modern era, trust has always been a missing entity; concentrations of power and trust have given birth to numerous breakdowns. To resolve the problems at this end, the paper attempts for a solution using Blockchains, a data structure that allows for the creation of cryptically secured distributed tamperproof ledgers. The paper discusses the data structure and further disserts on the case study in consideration.
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Dynamic Composition of Web Services by Service Invocation Dynamically
Статья научная
The automatic Web service composition is one of the greatest challenges. The problem of unavailability of public UDDI is motivation to develop an interactive system to search for Web services dynamically using search engines. This paper presents an interactive system for selecting composable Web services automatically and dynamically according to the user requirement through search results of Bingo search engine. The methodology used here is searching for requested functions according to the user requested functional word in the Bingo search engine, finding the search precision by the support of the requested function in the search results, displaying operation elements and allowing the user to select required operation. If the user is unable to enter the input value of the Web services then searching for the Web services that resolves the unknown input. The search process is continued in many levels till the user gets satisfied and the suitable Web services resulted in this process results in the dynamic composition. A composition rule is framed to show the operations of the Web services that are composed according to the user requests during the run time. This is an interactive system, where the user can select required operation from the list of operations. The required parameters to invoke the Web services are filled during runtime automatically resulted into a dynamic invocation of the Web services. Nowadays, QoS information such as availability and response time are not provided by the UDDI due to the absence of UDDI. Therefore, this system tests such information by invoking Web services and qualitative Web services are used to generate composition plan.
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E-Government in Pakistan – Implementation and Challenges
Статья научная
Today, the explosion of information and ever-improving digital connectivity has revolutionized the way business is performed, how organizations work, how the simplest of everyday chores are supposed to be done. A new world order has emerged; with newer, disruptive innovative ideas being incepted at a pace more than anyone could’ve ever imagined only a few decades ago. Public organizations; just like private ones, had to re-invent themselves in order to sustain and keep up with the increasing expectations of digital and effective public service delivery; From conventional government to E-Government. Implementation of e-Government solutions and strategies has become the topmost prerequisite of good governance in today’s globalized world, yet it remains a challenge in most of the developing countries including Pakistan. Despite countless efforts of the federal and provincial government in trying to go paperless, there remains a gap between the government and citizens, in the context of service delivery and between government employees and administration in the context of effective business process transformations. This paper aims to: •Study different models and indexes devised by scholars and organizations worldwide •Current implementations and the reasons behind their success or failure; based on interviews with people engaged in implementations of different digital solutions. •Study key contrasts in current and proposed business processes and their implications •Study key contrasts between ICT implementation strategies adopted by different counties •Identify recommendations and options for the government including institutional and cultural reforms for effective business transformation and service delivery •Engage with the people directly involved with the current and previous implementations of e-government applications in the country to provide the crux of all the challenges faced in different parts of the country. •Act as a roadmap for future ICT implementations in the country.
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EFL Teachers’ Perceptions of Learner Autonomy and Their Classroom Practices: A Case Study
Статья научная
It is considered that learner autonomy places a great emphasis on learners’ role as independent learners who are able to take control over their learning. That is not to say, teachers become redundant in a classroom. In contrast, the key role of the teacher is to create and maintain learning community. Accordingly, this study attempted to investigate EFL teachers’ perceptions of the promotion of learner autonomy and their teaching practices in a Thai context. It was quantitative-focused research, so data were obtained via a closed-ended questionnaire. The participants consisted of thirty EFL teachers who were teaching English at a Thai university. For data analysis, descriptive statistics and Wilcoxon signed ranks test were employed. The results showed that the participants could perceive the concept of learner autonomy and roles of teachers in autonomous language learning, yet most of them found it difficult to apply their knowledge about learner autonomy in this context. It is hoped that these preliminary findings partly contribute to literature regarding the promotion of learner autonomy in an EFL context.
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Статья научная
This project intends to develop an effective educational media that is not only rich in cultural content but also feasible in the museum setting. We want to introduce the Mao-Kung Ting, one of the most valuable collections of the National Palace Museum, to the public in two key aspects—its aesthetic beauty as an antique bronze cauldron, and its historical significance of carrying the longest bronze inscriptions ever discovered among unearthed bronze in China, which has made it plays an important role in the evolution of Chinese characters. Our mission is to develop an interactive installation that could help the audiences to understand this critical cultural heritage with ease. The major techniques that have been employed to facilitate this process include intuitive interactive interface, computer graphics animation, as well as an immersive environment with audio and video.
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Edifice an Educational Framework using Educational Data Mining and Visual Analytics
Статья научная
Educational Data Mining and Visual analytics are two emerging trends in the industry that plays a major role in bringing out changes in the educational institutions. This paper discusses about building an educational framework that suits the higher education in India using the above mentioned technologies. Educational data mining comprises of various technologies and tasks which can applied on educational data to bring out useful information. In this research work, a data ware house is built to store the student data, two data mining tasks classification and association rule mining are applied over the student data set to analyse their performance in the examination. Decision tree algorithm is used to predict the course and program outcome. Association mining is used to analyze the outcome and understand technical capability of the students. The algorithms were found very accurate in predicting and analyzing the performance. Visual analytics is used in the framework to depict the analysis of the student's performance.
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Education Level, Young Migrant Labors and Social Exclusion
Статья научная
With rapid transition in China, young migrant labors begin to replace old ones. However, there are still many obstacles to the citizenization process of young migrant labors, and the main difficulty is social exclusion. From the perspective of social exclusion，this paper uses Logistic Regression, OLS and Ordered Probit to explore the education level‟s impact on young migrant labors‟ social exclusion. Eventually the research discovers that years of education, family burden, psychological gap and friend relationship have a significant effect, and the regression results are steady. Based on it, this paper proposes several ideas of strengthening rural education and reducing exclusion.
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Effective Pedagogical Aspects of the Development of Creative Qualities in Students
Статья научная
The current state of society requires students at educational institutions of any level and direction not only to master knowledge and skills that will be useful in their future professions but also have the ability to conduct an active dialogue with colleagues and management, the ability to clearly and persuasively express their point of view, and the ability to be mobile, active, and creative. This study aims to discuss the effective pedagogical approach on creativity of the students. The taken results of this observation contribute to the manifestation of the future specialist's self-development, self-realization, and the embodiment of his or her own ideas, which are aimed at originality. The student's creative abilities develop in all types of activities that are important for every student. The activation of student creativity is designed not only to awaken and maintain interest in various disciplines and modules, but also, most importantly, to help students realize the need to actualize their own creative abilities in educational and professional activities, ultimately leading to the formation of a graduate specialist competitive on the global education system.
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Effective XML compressor: XMill with LZMA data compression
Статья научная
The XMill is an efficient XML compression tool which takes the advantage of awareness of XML. XMill compresses the data on the basis of three principles- separate the XML structure from the data, group related data and apply the semantic compressors. The XMill uses the gZip library to compress the XML string data for increasing the compression ratio. Here we have proposed a new method to increase the compression ratio of XMill tool. In this method we have added the 7Zip library to the XMill tool; 7Zip library uses the LZMA algorithm to compress the data. LZMA is an enhanced & improved version of LZ77 algorithm which is used in the gZip library. LZMA algorithm has following features over the LZ77 algorithm •Uses up to 4GB dictionary length instead of 32KB for removing the duplicate data. •Uses the look-a-head approach instead of greedy approach. •Uses the optimal parsing, shorter code for recently repeated matches. •Uses the context handling. Due to the above features our proposed approach achieves the best compression ratio with a comparable compression speed.
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Статья научная
Involving students actively in the learning process is one of the ways that can be used in developing the learning objectives of mathematics which is to improve students' critical thinking skills. Students can be called have mathematical critical thinking skills if they have a way of thinking systematically, have an awareness in thinking, and have the ability to distinguish a truth from truth, and can provide arguments from a problem. In fact, students do not have the knowledge independently before the learning process begins so the students only expect new information at school. The lack of learning resources that are easy for students to understand makes learning still go in one direction and create passive learners. The impact is made students having difficulty in solving problems with varying level of difficulty due to insufficient time to finish it at school. These unsolved questions become independent tasks at home, and students become more difficult to solve it and caused students have not developed the ability to think critically mathematically yet. The purpose of this study is to create a product in the form of an effective learning video to improve students' critical thinking skills. The development model used is Model Plomp which consists of three phases, namely the initial investigation phase, the prototype development phase, and the assessment phase. The subjects of this study were class XI students and a mathematics teacher. Based on the results of observations during the learning process, students look active in discussions and can solve problems that are given systematically. The results of the final test of students 'critical thinking skills, the students' mathematical critical thinking skills increased to 87.87%. It shows that students have good mathematical critical thinking skills after using flipped classroom-based mathematics learning tools. So, it can be concluded that the flipped classroom-based learning device is effective to improve students' mathematical critical thinking skills.
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