International Journal of Education and Management Engineering @ijeme
Journal articles - International Journal of Education and Management Engineering
All articles: 694
Need for anaphoric resolution towards sentiment analysis-a case study with scarlet pimpernel (Novel)
Scientific article
The problem of resolving references to earlier or later items in the discourse is commonly called as anaphora resolution or pronoun resolution. These items are usually noun phrases representing objects in the real world called referents but can also be verb phrases, whole sentences or paragraphs. Nowadays, anaphora resolution is addressed in numerous NLP (Natural Language Processing) applications. Proper treatment of anaphoric relations improves the performance of applications. Machine translation, information extraction, text summarization, or dialogue systems are some of the common applications of NLP. In early days, the machine translation systems processed on the basis of a sentence-by-sentence level. It did not consider the ties between sentences and resulted in an incoherent text as output. When the researcher forgets to handle the anaphora issue, it results in the striking problem of incorrect facts. It is very much needed to concentrate on the usage of pronoun, as it should match with their antecedents both in number and gender. Assigning inappropriate morphological features to the anaphor often may also lead to an undesirable change in the meaning of the sentence.
Free
Scientific article
Stock market trend can be predicted with the help of machine learning techniques. However, the stock market changes is uncertain. So it is very difficult and challenging to forecast stock price trend. The main goal of this paper is to implement a model for stock value trend prediction using share market news by machine learning techniques. Although this kind of work is implemented for the stock markets of various developed countries, it is not so common to observe such kind of analysis for the stock markets of underdeveloped countries. The model for this work is built on published stock data obtained from DSE (Dhaka Stock Exchange, Bangladesh), a representative stock market of an underdeveloped country. The empirical result reveals the effectiveness of Convolutional Neural Networks with LSTM model.
Free
Numerical Images Acquisition and Transmission Based on Microcontroller and CPLD
Scientific article
This paper presents a digital image acquisition and transmission methods. Using CMOS image sensors, under the control of the CPLD and microcontroller with a USB module, the system realizes the digital image acquisition and transmission. The design principle and system implementation are discussed in this paper. The system has high integration, small size and easy to install and portable .It can be well integrated with pre-processed data and image processing module , this will improve the efficiency of the computers operation. For digital image acquisition applications, size and power consumption are key considerations for hardware and software design problems, the CMOS image sensors used in digital image will have broad prospects.
Free
ONTOGRAZING: A Semantic Monitoring and Decision-Support Framework for Sustainable Grazing Management
Article
Sustainable grazing management requires balancing livestock productivity with ecosystem preservation, yet existing monitoring systems integrate heterogeneous data from IoT sensors, satellite imagery, and field surveys without a unified semantic layer, limiting holistic decision support. This paper proposes ONTOGRAZING, an ontology-based monitoring architecture for sustainable grazing management. Using the Uschold and King ontology engineering framework, domain knowledge was collected through surveys involving 23 livestock farmers and 4 agro-pastoral institutions in Cameroon, complemented by a systematic literature review. Seven core concepts and fourteen semantic relationships were modeled in OWL using Protégé. A five-module monitoring architecture composed of Query Reformulator, Data Integrator, Source Monitoring, Alert, and Storage modules was designed around the ontology. ONTOGRAZING was evaluated using the HermiT 1.4.3.456 reasoner and SPARQL queries. The ontology contains 47 classes, 14 object properties, and 9 data properties, and passed all consistency checks. Comparative analysis demonstrates that ONTOGRAZING is the first ontology to jointly cover forage management, dietary preferences, pasture composition, ecological–economic trade-offs, and land-use regulations. These results highlight the potential of ontology-based integration to improve interoperability and semantic decision support in agro-pastoral systems, while future work will focus on full prototype implementation and integration with real-world IoT platforms and agricultural databa.
Free
Object Motion Direction Detection and Tracking for Automatic Video Surveillance
Scientific article
In today’s world having a smart reliable surveillance system is very much in need. In fact in many public places like banks, jewellery stores, malls, schools and colleges it is basic necessary to have a surveillance system (CCTV). Most of today’s implementations are not smart and they record videos during night even when there is no motion. This will lead to unnecessary storage usage and difficult to get the important part of the footage. And also, most of the today’s implementations are stationary, they can’t track the moving object. This report will outline a naive approach to implement a smart video surveillance system using object motion detection and tracking. Here we are using conventional Background subtraction model to detect motion and we estimate the direction of motion of object by comparing the centroid of the moving object in subsequent frames and track the moving object by rotating the camera using servo. Video recording takes place only when there is movement in the frame which helps in storage efficiency. We are also improving the speed of email alert delivery by using multithreading.
Free
On Basic Principles in Contrastive Analysis
Scientific article
This paper describes some basic concepts in contrastive linguistics, and discusses its function in language teaching. And it compares the English proverbs containing the animal word horse with the equivalent Chinese proverbs. It aims to find the correspondence of the animal word horse in English and Chinese languages and illustrate the cultural phenomenon behind the translation. This paper finds out that the correspondence is very important and can help to understand the languages and the cultures and contribute to the teaching of language. Relevant study should be based on the cooperation and effort of both linguistics and teachers.
Free
On RFID Application In the Information System of Rail Logistics Center
Scientific article
Storage and Transportation Base of the railway system has comprehensive advantages in network, specialty and linkage. Thus, the Ministry of Railways plans to rebuild 18 logistic central stations in succession from 2007. They not only perform a core function of regional railway container transport organization, but also connect organically with other means of transportations a regional logistics center. Otherwise, the internet of things in our country is about to enter the application stage of innovation. In order to keep abreast of the times, we should consider the application of RFID in the management system while constructing rail logistics center on the high starting point and high standard. This paper will firstly state the correlative knowledge about rail logistics center and RFID technology, and in detail analyze the design of rail logistics center management information system base on RFID. Its object is to accomplish the information processing automatically and efficiently, and pointed out the construction of management information system on rail logistics center.
Free
On the Theoretical Framework of Autonomous Learning
Scientific article
The present research presents an overview of the definitions of two basic concepts in autonomous learning: learner autonomy, teacher autonomy. Based on these definitions, taking the Chinese context into consideration, this research attempts to redefine these concepts respectively. The present research is mainly concerned with the relevant theoretical framework of learner autonomy, namely cognitive learning theories, humanistic psychology, and constructivist theories of learning, and holds that developing learners‟ autonomous learning ability is very necessary to foreign language teaching reform in China. Several enlightenments are made in the end.
Free
Online Framework of Examination for Evaluating Learner’s Knowledge
Scientific article
The COVID-19 pandemic has necessitated a shift to online assessments, posing significant challenges for teachers in fairly evaluating student performance. The absence of invigilation has led to widespread cheating, with students copying answers from the Internet or top-ranked peers. This paper addresses these issues by proposing guidelines and techniques for fair student assessment without invigilation. The research begins with an analysis of traditional assessment methods and their limitations in the context of unmonitored online exams. It then explores various online examination frameworks, including multiple-choice questions, short-answer questions, and interactive simulations. The study identifies key weaknesses in current online assessment practices and highlights the potential of advanced online examination frameworks. By implementing the suggested techniques, educators can improve the reliability and fairness of online assessments, ensuring a more accurate evaluation of students' knowledge. This article serves as a valuable resource for educators, instructional designers, and e-learning professionals seeking to enhance the efficacy of online assessments.
Free
Ontological Cores of Documents: A Construction Methodology and Use Cases
Scientific article
The preservation of rare documents in the form of image collections presents significant challenges regarding access to their documentary content. To enable this accessibility for software agents, this article proposes a formal representation of this type of document through a semantic description layer. This layer includes a set of descriptive metadata attached to the document, alongside the minimal and strictly necessary vocabulary required to formalize the explicit textual and visual knowledge of its documentary content. To achieve this, we present a construction methodology based on a Semantic Model of Document (SMD), where a document is treated as a core documentary resource containing a set of information resources. The semantic description of these resources, aligned with RDF framework logic, produces an Ontological Core of Document (OCD) that formally describes the document's logical structure and captures its underlying semantics. Finally, we demonstrate the practical utility of these Ontological Cores through three distinct use cases—each targeting a specific dataset level (structural, administrative, and semantic)—showing how they allow software applications to move beyond simple collection searching toward intelligent, precise information extraction directly from the documentary content.
Free
Ontology Engineering and Development Aspects: A Survey
Scientific article
Ontology can be defined as hierarchical representation of classes, sub classes, their properties and instances. It has led to understanding the concepts of given domain, deriving relationships and representing them in machine interpretable language. Ontologies are associated with different languages that are used in mapping of multiple ontologies. Several applications of ontologies have led towards realization of semantic web. The current web (2.0) is approaching towards semantic web (3.0) that performs intelligent search and stores results in distributed databases. The paper makes readers aware of various aspects of ontology like types of ontology, ontology development life cycle phases, activities involved in ontology development and ontology engineering tools. Ontology engineering contributes to meaningful search and provides with open source tools for deploying and building ontologies.
Free
Ontology Mapping of Design Process Knowledge Based on Classification
Scientific article
For the requirements of knowledge reuse in product design process, according to the characteristics of the knowledge representation methods, this paper uses ontology knowledge representation method to construct the product design process knowledge model and gives ontology mapping decision strategy which is based on classification. In the basis of choosing "design department" ontology in human resource management as the heterogeneous ontology of "design organization" ontology in product design process management, lists their concepts set and calculates the similarity of matching concept pairs, finally, outputs the mapping relationship table.
Free
Scientific article
Online product reviews provide data about the user's perspective on the features that were experienced by them. Product features and corresponding opinions form a major part in analyzing the online product reviews. Extracting features from a huge number of reviews is classified into three major categories such as utilizing language rules, sequence labeling as well as the topic modeling. Latent Dirichlet Allocation (LDA) is one such topic model which clusters the document words into unsupervised learned topics using Dirichlet priors. The words so clustered are the features and opinion words in the product reviews domain. To identify appropriate product features from these clusters a hierarchical, domain independent Feature Ontology Tree (FOT) is applied to LDA clusters. The opinion bearing words of obtained product features are identified by utilizing the document indicators available from topic matrix of LDA. These indicators are useful to backtrack to the corresponding online review in which the product feature is present. The polarity of the opinion bearing word is calculated with the help of SentiWordNet. This improves the accuracy of the features using extracted LDA topic clusters and machine interpretation of polarity of opinion word is satisfactory.
Free
Optimal and Appropriate Job Allocation Algorithm for Skilled Agents under a Server Constraint
Scientific article
In a combinatorial auction, there has a server, some agents, and some jobs which can be used to reach efficient resource and job allocations among the agents. In our paper, we have shown how any server can achieve maximum throughput as well as maximum profit based on some server constraints where each agent has one or more skills to perform those jobs on a priority basis which can be executed in a whole or partial. This algorithm can effectively distribute the appropriate job allocation among skilled agents with proper acknowledgment to the server after a certain period.
Free
Optimization of Curriculum Content Using Data Mining Methods
Scientific article
The purpose of this article is to search and extract the necessary content, identifying curriculum topics. Classification and clustering of text documents are challenging artificial intelligence tasks. Therefore, an important objective of this study is to propose and implement a tool for analyzing textual information. The study used Data Mining methods to analyze text data and generate educational content. The work used methods for classifying text information, namely, support vector machines (SVM), Naive Bayes classifier, decision tree, K-nearest neighbor (kNN) classifier. These methods were used in developing the curriculum for the specialty “Cybersecurity” for the Faculty of Information and Telecommunication Technologies. About 48 curricula in this specialty were analyzed, topics and sections in disciplines were identified, and the content of the academic program was improved. It is expected that the results obtained can be used by specialists, managers and teachers to improve educational activities.
Free
Scientific article
Scrum and Kanban are some of the most common methodologies that are used in software development because of flexibility and focus on the team. Nevertheless, applying Agile at a project level and within large IT projects including workforce distributed across different areas, manages some remarkable difficulties, for example, coordination, communication, or resources. This paper examines ideas on how to improve the implementation of Agile system to increase the performance of the team and results of the projects. The study focuses on four key goals: proving Agile improvements in practice via pilot surveys, applying best-practice structures, such as defence-grade SAFe or LeSS at the scale, encouraging organizations-wide Agile mindset, and using collaboration and automation technologies when working in remote environments. These issues serve as the focus of this research with the intention of preserving Agile’s principles of flexibility and practicability across various size and scale projects. It presents suggestions for further research and informs practitioners and organizations wishing to obtain the most out of Agile methodologies in real environments.
Free
Optimizing Student Performance Prediction via K-Means and k-NN Integration
Scientific article
This study explores the integration of two methods, namely K-Means and k-NN. K-means is used to identify categories of learning outcome data, while k-NN is used to predict students' learning outcomes into relevant categories. Through the calculation of the Elbow method, it was established that the optimal number of clusters for grouping is three. The learning outcome data, which include Arithmetic and Statistics scores, are processed to produce a mapping that differentiates students into three categories: Adequate, Moderate, and Good. In the 12th iteration, the clustering results using K-Means achieved convergence, with 64 students in the Adequate category (C1), 60 students in the Moderate category (C2), and 59 students in the Good category (C3). This indicates that the students in each group are evenly distributed based on their mathematical and statistical abilities. The prediction results using k-NN for a student with an Arithmetic score of 85 a Statistics score of 75, and a k-value of 61, found that 7 data fell into Category 1 (Adequate), 3 data into Category 2 (Moderate), and dominant 51 data in Category 3 (Good). Thus, the prediction results are placed in Category 3, indicating a 'Good' rating in their academic performance. By using data mining techniques to enhance understanding of student learning outcomes, this study provides a significant contribution to the field of education. It demonstrates substantial progress toward a data-driven learning approach that can be tailored to specific needs and improve student learning outcomes.
Free
Orphan Adoption Management System using Machine Learning Approach
Scientific article
According to UNICEF, the latest estimate states that there are about 2.7 million children in orphanages. Orphanage is a residence for people who are without parental support or any moral support from anyone. Such orphans require help from people who are in a good financial state to donate them. Generally, in orphanage records are usually maintained for future reference, retrieval, and easy management. The objective of this paper is to help the orphans from different orphanages to get help from the donors who wish to donate them by using our web application. The proposed system helps the staff in reducing manual paper work and enhances tidiness in record keeping since the existing one uses manual keeping, i.e., the use of files and papers. The system allows the orphanage owner to add and modify the orphan records. The system provides suggestions for assignment of these orphans to the caretakers/donors by using SVM (Support Vector Machine) algorithm. Donor can select the orphan and request for adoption from the orphanage owner. The Orphanage owner can accept or reject help from the donor. The proposed system is aimed to facilitate donors with the details of an orphan and providing fund specifically to that orphan.
Free
Performance Analysis for Heterogeneous & Reconfigurable Computing Based on Scheduling
Scientific article
Right now, heterogeneous & reconfigurable computing is a research hot in the area of high performance computing. Due to the heterogeneity of application tasks and reconfigurability of system architecture, performance analysis for heterogeneous & reconfigurable computing becomes rather difficult. Unfortunately, the existing techniques and methods are no longer suitable for use. This paper presents a performance analysis method based on task scheduling. It builds on system architecture model and task model of heterogeneous & reconfigurable computing. By making use of heterogeneity matching matrix and reconfigurability coupling matrix we achieve optimal selection and matching between computational tasks and processing units. Through task scheduling algorithm, the completion time of application task run on heterogeneous & reconfigurable computing system can be calculated. Finally, we carry out case study.
Free
Performance with Eloquent and Query Builder in Crowdfunding System with Laravel Framework
Scientific article
Performance is a point of interest that is quite interesting for application owners, how could it not, besides being rich in features and following what they want, there are things that are no less important, namely the issue of the speed of use of an application that must be considered for developers. Because the speed level will affect the user experience in using it. Many factors influence the performance of an application, especially in the website category, one of which is the developer's ability to minimize large amounts of data load. This is the importance of being able to categorize which large data loads need to be considered and which are not. There is a system crowdfunding website that is currently operating using the laravel framework, but there are several obstacles faced where some of the processes in it are rather slow in the process. In this research, how do we choose which process uses process eloquence and which one needs to use the query builder. So that combining eloquent and query builder can be optimal
Free
