Статьи журнала - International Journal of Education and Management Engineering
Все статьи: 590
Developing Markerless Augmented Reality for Furniture Mobile Application
Статья научная
In India, purchasing furniture online consistently faces a quandary regarding how one can comprehend whether the furniture is a solid match to purchase, regardless of whether it will fit in space without really contacting and looking at the furniture in detail. With such a dilemma there are chances for online stores to decline in their business. There is always a good certainty that technology can help to bridge the barrier and help one to overcome the dilemma. This study creates a unique light on how Augmented Reality can help to create and simulate buying furniture an online experience and enhancing customer experience provided uniqueness and mobility with the help of a mobile application. Our application allows users to simulate and experience furniture in 3D simulation using markerless augmented reality. Users can try a piece of furniture in their space supported by gestures and color furniture to try out diverse tints of the same. This research advances a new way of implementing markerless augmented reality for buying furniture products online provided by mobile applications and communicating with virtual objects in a real environment with an easy-to-use user interface.
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Developing a Mathematics Lesson Plan based on Visual Learning Technology
Статья научная
Various researchers have highlighted the importance of the introduction of visual learning in mathematics. Visual representation in mathematics is important for teachers and for pupils in their teaching and learning of mathematics, respectively. Various visual learning platforms are used in mathematics. This research concentrates on 2-D and 3-D visual learning technologies such as MIT App Inventor and Kudo Game Lab for elementary school.
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Developing an Intelligent Question Answering System
Статья научная
The goal of an intelligent answering system is that the system can respond to questions automatically. For developing such kind of system, it should be able to answer, and store these questions along with their answers. Our intelligent QA (iQA) system for Arabic language will be growing automatically when users ask new questions and the system will be accumulating these new question-answer pairs in its database. This will speed up the processing when the same question(even if it is in different syntactical structure but semantically same) is being asked again in the future. The source of knowledge of our system is the World Wide Web(WWW). The system can also understand and respond to more sophisticated questions that need a kind of temporal inference.
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Статья научная
Agriculture, Plantation and Forestry Commodities are the main sectors supporting household daily needs and people's income for improving the economy. District of Marangkayu is located in Kutai Kartanegara area, East Kalimantan Province, where geographical condition consists of the terrain of hilly steeps surrounding the lake of Kutai Kartanegara. The geographical contours make the sector of agriculture, plantation and forestry the people's primary choice to meet the needs of household as well as increase the standard of economy of the people. In order to maintain the stability of price and production of agricultural commodities, Commodity Information System is required to provide information of the location, coordinate of positions, area of production, as well as presenting information of prices, price fluctuations and changes, along with a display of information over the accumulation of agricultural commodity production of the Kutai Kartanegara area, with additional features of appropriate distribution and production thereof. Therefore, it is necessary to develop the Web-Based Geographic Information System (GIS) for Agricultural Commodity, Plantation and Forestry of Marangkayu Area. GIS application is built using the Rapid Application Development (RAD) method, which consists of the phase of Requirements planning, User design phase, Construction phase and Cut-over phase. Database for the implementation uses PostgreSQL and PostGIS extensions. Programming language uses PHP, JavaScript, and HTML. The interface implementation is built using Bootstrap. The testing of the application uses the Black box testing method. The results of the test show that the Web-Based GIS Application has met the needs of the requirement system and the problems.
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Development of Cloud Based Incubator Monitoring System using Raspberry Pi
Статья научная
Accurate and quantifiable measurement of light is essential in creating desired outcomes in practical day to day applications such as in Poultry Industry. Light measurement is essential in ensuring the efficiency of egg hatching process. Artificial incubation has been used in the poultry farm for hatching of the eggs. For better hatching of the eggs, the temperature and humidity has to be maintained properly. The proposed system is equipped with DHT11 sensor which monitors the temperature and humidity of the incubator and continuously updates to the cloud through Wi-Fi. Remote user checks the temperature and humidity values and controls the intensity of the bulb through an Android app in his mobile phone. A servo motor is attached to the egg turner kept inside the incubator and is rotated according to the specified delay in order to prevent the yolk from getting stick to the shell of the eggs and also to provide uniform temperature for the eggs. From the experimental results, it is inferred that better hatching of the eggs could be achieved by controlling the intensity of the bulb remotely.
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Development of GIS Application System on OCCI and MapX
Статья научная
Exploring a method of developing application system which can access and manipulate a mass of spatial data effectively under integration storage mode of GIS data in Oracle Spatial, is the research hot spot. This paper defines more compact, robust and reliable class modules for accessing spatial data, carries on the visualization processing of spatial data using MapX, and gives a method for enhancing the ability to manipulate spatial data in GIS system through using OCCI to call spatial operators in Oracle Spatial, which unites advantages of OCCI, MapX and Spatial to develop GIS application system fully.
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Development of Knowledge Graph for University Courses Management
Статья научная
The task of Allocating courses to lecturers in many tertiary institutions is done manually by typing using word processor application. Motivated by the widespread application of knowledge graphs in different domains, we present automated approach based on knowledge graph to address the problem of manual course allocation to, a task usually carried out at the beginning of every semester or academic year by departments in tertiary institutions. The development of knowledge graph in a way that enables easy manipulation and automatic generation of course allocation schedule is the core contribution of this paper. Rather than storing the data in relational database tables, the system stores data in a knowledge graph which is in RDF/XML format and refer to it to support intelligent knowledge services. In addition to automatic generation of course allocation schedule, another important feature of the system proposed in this paper is its ability to enable easy implementation of tasks similar to Question Answering that are very important to education administrators, which the existing manual approach does not provide. Testing of the proposed system reveals its ability to perform effectively. Our approach of using Knowledge graph offers advantages such as flexibility and security.
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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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