International Journal of Education and Management Engineering @ijeme
Journal articles - International Journal of Education and Management Engineering
All articles: 685
Management of Changes in Software Requirements during Development Phases
Scientific article
Change, in software requirements during its development phases, is considered as a major risk which may affect a software project to fail. Therefore, software engineering processes, methods, and tools are used in order to manage these risks whereas changes in requirements have many negative influences such as effects on system development life cycle (SDLC) phases, project progress, and outcome of a software project. Consequently, project managers must use risk management strategies, activities, and estimation techniques in order to manage and mitigate these risks which are caused due to changes in requirements. A novel model is proposed in this paper to manage and mitigate risks related to changing requirements. The proposed model is validated through qualitative research design. The results are in favor of the proposed model to show its effectiveness. It is anticipated that the proposed model will solve the problems of software companies in major to deal with risks about changing requirements.
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Material Physics & Chemistry Quality Network Curriculum Construction and Teaching Practice
Scientific article
Based on the construction and teaching practices of school's quality network curriculum of material physics and chemistry in Chengdu University of Technology, a few related hot issues are discussed in this paper. The orientation and characterization of the quality network curriculum are analyzed. And a series of the concrete optimization countermeasures and measures are put forward to improve the curriculum construction and teaching quality, such as teaching aims and demands, curriculum system and structure, teaching methods and means, curriculum management and evaluation, and websites construction and service quality and so on. We point out that the long-time construction, maintenance and service of the excellent quality website play a key role in the quality network curriculum construction and teaching. This has important realistic significance to increase continue the teaching effect and promotes professional cultivation of materials science and engineering.
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Scientific article
Many teachers experience difficulties in starting an instruction and in how to make the students learn appropriately. Meanwhile, the teacher has to make the students learn in order the teaching conforms to the four pillars of education according to UNESCO, i.e.: learning to know, learning to do, learning to be, and learning to live together in peace and harmony. In relation to this, a study was conducted to the students of primary schools in Singaraja to see the effectiveness of BLCS model (Bruner, Local Culture, and Scaffolding) in the teaching of mathematics through a measurement using Expert System - based CSE-UCLA. The effectiveness of the teaching model was seen from learning activities, learning achievement, and the students' response to the teaching. Data were collected through observation, test and questionnaire and were then analyzed descriptively. The results show that BLCS model is an effective model to be used in the teaching of mathematics.
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Medicine Management System: Its Design and Development
Scientific article
The researchers conducted this study with the main purpose of helping the residents of the municipality to expedite the process of obtaining free medicine. In the current setup, an individual who needs to avail of free medicine from the barangay or municipal health center personally visits the place to request maintenance medicine. This motivated the researchers to make a research study focusing on converting the manual requisition system to something that people can access quickly and comfortably without necessarily going out of their households, especially during these challenging times – the pandemic. The researchers called it a “Medicine Management System”. The researchers aimed to speed up the requisition of medicine using this online system. The patients or qualified recipients need not consume time lining up to request medicine from the municipal health center. This system can be accessed over the internet anytime and anywhere. Users must register and upload a legit doctor’s prescription. Researchers have created this system using HTML for the system interface, XAMPP for maintaining database records, and PHP for other system functionalities.
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Melamine Analysis in Liquid Milk by Simple and Robust Neural Network Based Method
Scientific article
Melamine (2,4,6-triamino-1,3,5-triazine) is a nitrogen-rich chemical implicated in the pet and human food recalls and in the global food safety scares involving milk products. Due to the serious health concerns associated with melamine consumption and the extensive scope of affected products, rapid and sensitive methods to detect melamine’s presence are essential. We propose the use of spectroscopy data – produced by near-infrared (near-IR/NIR) and mid-infrared (mid-IR/MIR) spectroscopies, in particular – for melamine detection in complex dairy matrixes. It was found that infrared spectroscopy is an effective tool to detect melamine in liquid milk. The limit of detection (LOD) below 1 ppm (0.76±0.11 ppm) can be reached if a correct spectrum pre-processing (pre-treatment) technique and a correct multivariate (MDA) algorithm: partial least squares regression (PLS), polynomial PLS (Poly-PLS), or artificial neural network (ANN) – is used for spectrum analysis. The relationship between MIR/NIR spectrum of milk product and melamine content is non-linear. So, non-linear regression methods are needed to correctly predict the triazine-derivative content. It can be concluded that mid- and near-infrared spectroscopy can be regarded as a quick, sensitive, robust, and low-cost method for liquid milk analysis. The technique can be applied for the automation of milk analysis.
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Method of Uninitialized Variable Detecting for C++ Program
Scientific article
We present a testing approach which is a partially automated, partially manual inspection process that reports defects in C++ source code. In this paper we considered one of the faults type- uninitialized Variable- which the approach can detect. Uninitialized Variable is a common kind of error in programs written in C++, it often causes error result or system collapse. This paper analyses the classical C++ uninitialized variable errors, and describes a detecting method of uninitialized variable errors combining the advantage of ASI technology which based on static analysis.
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Mobile Device-based Cargo Gridlocks Management Framework for Urban Areas in Nigeria
Scientific article
A number of recommendations for the adoption of ICTs in tackling traffic congestion problems in developing countries have been made in studies. Such studies have rather focused on assessing and evaluating the causes and effects of gridlocks than proffering solutions. The absence of implementable ICT models that can be effectively deployed to salvage the gridlocks, especially those generated by cargo transporters has added to the movement difficulty in these countries. This paper formulates a mobile device-based model supported by web technologies, called MobileCGM that can help avoid incidences of gridlocks emanating from Tin Can Island and Apapa sea ports in Lagos, Nigeria. This novel approach will allow timely pick-ups and deliveries of freights in the area by utilizing the deep penetration of GSM and mobile network services in Nigeria to solve the local problem. The model design and specification of the framework was achieved using the Unified Modelling Language (UML). The implementation of this model will render it needless for trucks and transporters to hang around the vicinity of where their cargos will be dropped off or picked up or cluster on the roads, as both cargo owners and transporters will know in advance when to pick up or deliver their cargo and get there just in time.
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Monkey Pux Data: Visualization and Prediction of the Observed Number of Affected People in Nigeria
Scientific article
Information and communication technology (ICT) is the bedrock of information dissemination and a driving force for better economic planning to achieve its goals and get success stored securely and confidentially. Monkeypox (MPX) epidemic outbreaks affect human beings as a whole and can be a cause of serious illness and death. This epidemic continues to challenge medical systems worldwide in many aspects, including sharp increases in demands for hospital beds and critical shortages in medical equipment, while many healthcare workers have themselves been infected. Thus, the capacity for immediate clinical decisions and effective usage of healthcare resources is crucial. Therefore, this research has developed an effective screening system that will enable quick and efficient diagnosis of Monkeypox (MPX) and can mitigate the burden on healthcare systems. This system would be handy in sharing much-needed expert knowledge in the diagnosis of Monkeypox (MPX) symptoms since it would be used by medical officers, clinical officers, and nurses in the absence of specialists. It could be used to collect medical data, which in this case is the symptoms presented by the patients; it can also be useful in training general practitioners, physicians, inexperienced nurses, and paramedics to guarantee suitable and accurate decision-making in the diagnosis and management of Monkeypox (MPX). The methodology adopted is the machine learning algorithms foranalysis and training of our dataset, to ascertain the level at which this epidemic has caused harm to lives, a linear relationship between an independent and dependent variable is provided by the linear regression technique, and Python programming was used to visualize and predict clinical outcomes.
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Multi-Task BanglaBERT for Joint Sentiment and Fake News Detection in COVID-19 Discourse
Scientific article
The COVID-19 pandemic catalyzed an unprecedented surge of misinformation on social media, frequently intertwined with emotionally charged language. Understanding both the sentiment and truthfulness of this content is critical for public health monitoring and misinformation mitigation. However, Bangla—despite being a globally prominent language—remains severely underrepresented in joint sentiment and fake news detection research, with existing studies largely restricted to single-task settings. To bridge this gap, this paper proposes a novel multi-task BanglaBERT-based framework for the simultaneous classification of sentiment and truthfulness in COVID-19 discourse. Furthermore, we introduce the first publicly available, dual-annotated Bangla corpus for this domain, comprising 35,526 textual samples aggregated from social media and news sources. Our architecture employs a shared BanglaBERT encoder with dual task-specific heads, optimized using a task-prioritized loss function that combines modified Focal Loss and weighted cross-entropy to address inherent class imbalances. Extensive experiments demonstrate that the proposed model achieves 75.1% accuracy (Macro F1: 0.707) for sentiment classification and 88.0% accuracy (Macro F1: 0.851) for truthfulness detection. Ablation studies and error analyses confirm that our tailored loss strategies significantly enhance the recognition of underrepresented and semantically ambiguous classes, particularly neutral sentiments. By releasing our dataset, code, trained models, and a Gradio-based interactive demo, this work establishes a robust benchmark for multi-task learning in low-resource Bangla NLP and provides a practical tool for fact-checking during health crises.
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Multilevel Authentication based Data Security and Verification over Cloud Computing Environment
Scientific article
There are various algorithm proposed in the area of cloud computing environment. Now a days the cloud computing is the very interesting area for research purpose. Cloud computing environment provides the security of user data and integrity verification with the users data, also cloud provide on demand network access to a shared pool of configurable computing resources like network, servers, storage, applications and services that can be rapidly provisioned and provide with minimum user effort and service provider interaction. Uses of cloud computing services is very easy and also in very low cost. The cloud computing services are on demand over the internet, so it provides the facility to clients that access these services remotely from anywhere, anytime with the help of internet and any devices like pc, laptop mobiles etc. The data or information of cloud user is save in cloud service provider so in the cloud computing environment the security of data and privacy of data is primary issue[1]. In this paper a security model is proposed here we provide a mechanism to cloud user to encrypt their data or sensitive information and generate a integrity verification key then save the data on cloud in encrypted form. The cloud user have many choices like private phase, public phase and hybrid phase and the hybrid phase tier1 and tier 2. In all three sections there are various encryption techniques are implemented like AES (Advanced Encryption Scheme)[9], IDEA, Blowfish[12], And SAES based on the security factors namely authentication, confidentiality, security, privacy, non-repudiation and integrity. In Private phase a Unique token generation mechanism with the help of SHA-2 implemented it helps to ensure the authenticity of the user, The Hybrid section of the model provides On Demand Security Choices Tier one or Tier two and Public section provides faster execution with the help of Blowfish algorithm. Overall the user data Is wrapped in two folds of encryption and integrity verification in all sections.
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Multimedia Pedagogy among Literature Lecturers in Two Universities in Uganda post COVID-19
Scientific article
Multimedia pedagogy embodies the use of text materials, photography and other still images, audio files, video presentations and forms of animation, which are all excellent vehicles for Literature teaching. Prior to COVID-19, most lecturers in the selected universities had used multimedia to watch literature films but not to conduct entire lectures. After that pandemic, when schools reopened, the ODEL (Online Distance Education Learning) department's pleas to lecturers to continue with some online courses fell on deaf ears. This study undertook ethnographic research to establish the reasons for the apparent reluctance by both lecturers and students to interface using multimedia during creative writing classes. The observations and interview findings revealed that subject specifications and psychological factors influenced the lecturer and student more than the economic factors against the use of multimedia during lectures. The study recommended retooling teacher trainers in multimedia pedagogy because a person cannot effectively conduct online lectures unless taught how to. The study concluded that human beings are social beings drawn to learning using methods that involve close interaction between the teacher and the taught, and the elaborateness of literature with its genres consists of the teaching of intangible interactions between words and listener, demand for physical interface between teacher and teacher trainee to chisel and polish the genre specifications.
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NGO Support Software Solution: for effective reachability
Scientific article
In India there are currently a lot of NGOs working for noble causes. Citizens are also eager to contribute. Unfortunately for a lot of these NGOs there is a shortage or absence of IT infrastructure, hindering their reach and effectiveness. We aim to aid such NGOs and provide them with the necessary IT infrastructure to optimize use of resources and increase their reach for food and money donations. The project includes a cross platform mobile application which will help them manage their volunteers, get orders by spreading awareness through a social media module to connect to people who wish to support them in this noble cause. There are many freelancing developers and existing apps, the goal is to extract all the best features, figure out best platforms, harness latest trends and develop the app at a cost that the NGO can afford. Our literature survey of existing app gave insights about designing the necessary modules that we must have. To have the analysis of people’s attitude, habits and trends, studying papers related to social media trends inspired us to harness its power. The study of other kinds of systems using mobile applications, encouraged us to consider options of 100% cost free background, enabling us to generate an economical solution.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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