International Journal of Education and Management Engineering @ijeme
Journal articles - International Journal of Education and Management Engineering
All articles: 685
Scientific article
This study investigates the performance of students enrolled in programming courses offered under the Sandwich Educational System (SES) in Ghanaian universities and colleges. SES is a unique educational approach that combines academic studies with practical work experience. This study examines various teaching models employed within the SES for programming education to identify any significant relationship between teaching methods and student academic performance. The target population for this study comprised students enrolled in computing education-related programs within the SES, with a specific focus on those undertaking programming courses. A single study group of students pursuing the Bachelor of Education programme in Information Technology (B.Ed. IT) under the sandwich mode at University X was selected to ensure efficient research management in this study. Employing a mixed-methods research design, quantitative and qualitative data were collected and analysed using descriptive and inferential statistics. A survey was administered to 218 of the 357 students in the study group during the designated survey period. Additionally, a seven-year longitudinal quasi-experiment involving five different year groups in the B.Ed IT sandwich programme at University X was conducted to examine the relationship between student performance and teaching methods within SES. The findings of this study do not demonstrate a significant difference in academic performance among students taught using different teaching methods in SES. However, it is crucial to acknowledge the study's limitations, which necessitate considering the findings as insightful observations rather than as conclusive results. This study recommends enhancing students' prior exposure to programming and adopting innovative teaching methods to improve their academic performance. Future research should address the limitations of this study by utilising a more rigorous experimental design, such as a randomised controlled trial, and exploring additional factors that may influence student performance within the SES. Such endeavours would enable more robust causal inferences to be drawn.
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Exploring the high potential factors that affects students’ academic performance
Scientific article
The rapid increase in student population has resulted in expansion of educational facilities at all level. Nowadays, responsibilities of teachers are many. It is the responsibilities of teachers to guide the students to choose their carrier field according to their abilities and aptitudes. The Data Mining field mines the educational data from large volumes of data to improve the quality of educational processes. Today’s need of educational system is to develop the individual to enhance problem solving and decision making skills in addition to build their social skills. Educational Data Mining is one of the applications of Data Mining to find out the hidden patterns and knowledge in Educational Institutions. There are three important groups of students have been identified: Fast Learners, Average Learners, and Slow Learners. In fact, students are probably struggles in many factors. This work focuses on finding the high potential factors that affects the performance of college students. This finding will improve the students’ academic performance positively.
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Face Recognition using Curvelet Transform and (2D)2PCA
Scientific article
This paper proposes a novel algorithm for face recognition, which is based on curvelet transform and (2D)2PCA. Contrast to traditional tools such as wavelet transform, curvelet transform has better directional and edge representation abilities. Inspired by these attractive attributes, we decompose face images to get low frequency coefficients by curvelet transform. (2D)2PCA with an exponential decay factor is applied on these selected coefficients to extract feature vectors, which will achieve dimension reduction as well. The nearest neighbor classifier is adopted for classification. Extensive comparison experiments on different data sets are carried out on ORL and Yale face database. Results prove that the proposed algorithm has high recognition accuracy and short recognition time, and it is also robust to changes in pose, expression and illumination.
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Fast Intra Mode Decision Algorithm Based on Texture Direction Detection for H.264/AVC
Scientific article
The latest video coding standard H.264/AVC outperforms previous standards in terms of coding efficiency at cost of higher runtime complexity. When RDO is used, the most time-consuming process in a H.264/AVC encoder is mode decision, where all the intra/inter modes are tested to find the optimal coding mode. In this paper, we present a fast intra mode decision scheme, which first detects the texture direction and only tests a subset of intra modes consistent with detected direction. Experimental results demonstrate that the proposed scheme significantly reduces the overall encoding time with negligible coding performance loss.
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Feasibility Analysis and Simulation of the Solar Photovoltaic Rooftop System Using PVsyst Software
Scientific article
The objective of the research is to design and evaluate the grid-connected solar photovoltaic roof-top system at Tetulia, Panchagrah, Bangladesh using PVsyst software. The main factors of this research are the move toward renewable energy like PV with environmental consequences. The overall performance of a photovoltaic cell is determined by the amount of solar irradiation, the type of PV module used, and the orientation of PV module. Now, the grid-connected PV system is the best choice for large-scale renewable energy. For the case study, PVsyst software is used to analyze a 3kW solar PV plant installed on a rooftop for residential load consumption of 8.1kWh/day. The available AC energy generated by the PV panels is 4172kWh/year, and 1871kWh/year of surplus energy is supplied to the grid after daytime power demand is met. The yearly global horizontal irradiation of Tetulia, Panchagrah is 1485.4kWh/m2 and during the night, the quantity of electricity imported from the grid is 1050kWh/year. This technology helps in the prediction of power outages and backup energy storage because it makes use of the energy stored in the batteries.
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Flow Analysis of Fresh Vegetable Box Based on Multiporosity Material
Scientific article
Fresh vegetable box is a box including a gas control device, uses of the principle of controlled atmosphere to keep fresh vegetable effect. In the preservation process, the fresh vegetable box can not be so easy to obtain uniform velocity field because the parameters of the box have different effects, and it will affect final preservation effect of fresh vegetable box. In this paper, a fresh vegetable box based on multiporosity material was recommended. 5 different cases were candidated and analyzed for investigating the effect of the property of the multiporosity material. The analysis results show that the property has an important effect to final velocity uniformity. The developed product and method can be used to develop a high performance fresh vegetable box.
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Food Safety Testing Technology Based on The Spectrophotometer and ARM
Scientific article
This paper describes using spectrophotometer and ARM in food safety detection system. Using the spectrophotometer as sensors will convert lead concentration and organophosphate pesticides concentration into optical signals. Data will be analyzed by ARM. This system can also complete photoelectric conversion, A/D conversion functions and complete light signal processing effectively. The hardwares are low prices, cost-effective, stable work, and easy to operate. This testing technology provides a reliable method for food safety detection.
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Forecasting using Artificial Neural Network and Statistics Models
Scientific article
Forecasting is very important for planning and decision-making in all fields to predict the conditions and cases surrounding the problem under study before making any decision. Hence, many forecasting methods have been developed to produce accurate predicted values. Consumer price indices provide appropriate and timely information about prices changes, which affect the economy of all Yemenis because of their different uses in many ways. It can be used as an economic indicator (wider use in the inflation measurement), and as a means of regulating income. It is also used as a supplement for statistical chains to predict future value indices in order to make sure that the data accurately reflect the patterns purchased by the Yemeni consumer. In this paper, we propose a modified artificial neural network method to predict the indices of consumer in the Republic of Yemen to the prices of the period from 01/01/2005 till 01/01/2014. The results of using the proposed method is compared to a classical statistical method. The proposed method is based on artificial neural networks, namely, back propagation with adaptive slope and momentum parameter to update weights. However, the statistical method is Box-Jenkins model which is used to predict time series. The experimental results show that artificial neural networks gives better predictive values due to their ability to deal with the nonlinear and stochastic data better than traditional statistical modeling techniques.
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Forest Area Land Management Information Based on Website
Scientific article
Management of forest area land is a concern for community cultural values, aspirations, and involvement of local forest area communities in managing forest land with the existence of Community Based Forest Management(CBFM). In an effort to make it easier to collect data, currently, the management of forest land management data at Perum Perhutani KPH (KPH is the smallest unit of the forest management system at the site level) Tenggarong, especially in the Community Based Forest Management (CBFM) section, is still done manually by writing in a ledger. With the aim that Perum Perhutani KPH(is the smallest unit of the forest management system at the site level) Tenggarong, especially the Community Based Forest Management (CBFM) section, can use web-based application technology to be able to collect data more efficiently in terms of time and cost and print reports. The methodology of making this research uses the Waterfall methodology which consists of needs analysis, system design, program code writing, system testing, and application implementation and maintenance. The programming language used is PHP with a database using MySQL. This research develop a web-based forest area land management information system, that can facilitate and assist in recording and reporting “Pesanggem” (forest cultivator) data carried out by Community Based Forest Management(CBFM) expert staff at Perum Perhutani KPH (which is the smallest unit of the forest management system at the site level) Tenggarong.
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Framework for Provenance based Virtual Machine Placement in Cloud
Scientific article
Due to the high availability of resources in the Cloud Computing platform, there is a tremendous increase in the underutilization of these resources. Improving the throughput and effectively utilizing these resources are two main challenges in the cloud computing scenario. This paper proposes a methodology for improving the throughput and effective utilization of resources by appropriately placing the Virtual Machine in the server that would be more productive. The proposed solution is based on VM placement algorithm and an exclusive framework is designed for this algorithm. This algorithm refers to the history of data which is available in a global provenance database. By utilizing this provenance data, the system performance is improved.
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Scientific article
Since the more importance is played on customer's behavior in today's business market, telecom companies are not only focusing on customer's profitability to increase their market share but also on their potential churn customers who could terminate the relation with the company in near future. Big data promises to promote growth and increase efficiency and profitability across the entire telecom value chain. This paper presents a framework for targeting high value customers and potential churn customers. Firstly, customers are segmented on basis of RFM (Recency-Frequency-Monetary) analysis and finally customers in each segment are targeted by various offers on basis of their similar characteristics.
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Fuzzy K-Nearest Neighbour Model for Choice of Career Path for Upper Basic School Students
Scientific article
Many students are faced with the challenge of deciding on a suitable career path. This is because decisions are characterized by a number of subjective judgements. Therefore, choosing a particular career path without first determining the suitability of a student, as a fundamental step, will yield an undesirable outcome. This paper aims at developing a career path decision making model for senior secondary schools. The concept of fuzzy logic was used in developing the model. Crisp sets are converted to fuzzy sets using fuzzy K- nearest neighbour algorithm method. The model was implemented in the MATLAB environment. The performance of the model was evaluated using specificity and accuracy as performance metrics. The results obtained showed the model has accuracy value of 90.22%. This result show that the model is approximately 90% accurate. Also, it has a specificity value of 96.97%. These results show that the model provides a good support for decision making while eliminating the challenges of indecision and floundering that are characterized with choosing a career path among upper basic school students, that is, Junior Secondary School students. The model will also serve as a tool in enhancing the work of career experts.
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Fuzzy Logic-Based Control for Autonomous Vehicle: A Survey
Scientific article
Fuzzy set, since its advent has played an important role in control systems and many other area of applications. One of such area is the control of autonomous vehicle. There seem to be some difficulty however, for a new timer trying to get a clear picture of the autonomous navigation problem. To this end, this survey presents a panoramic view of the Intelligent Transportation Systems with some few example of the Advance Driver Assistance Systems and a good discussion on the autonomous systems with its eminent problems. More attention was focused on the fuzzy controllers designed for collision avoidance; as its performance has largely simplified and smoothens the collision avoidance process of an autonomous vehicular system.
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Scientific article
Nowadays, more and more abrupt environmental pollution accidents have occurred in counties of China and seriously influenced the ecological security. It is important to make systematic studies on the occurrence of abrupt environmental pollution accidents in counties. Limited researches have been made on it in China, and it is almost impossible to make early warning and emergency management in time on abrupt environmental pollution accidents in counties. This paper established an efficient emergency management system on abrupt environmental pollution accidents in counties of China based on the technology of Geographic Information System (GIS). The framework, the design of its database and the functions of its modules were discussed and an example was described to show the practical use of the system. This system will support the establishment of emergency response and prevention system on abrupt environmental pollution accidents in counties of China
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Scientific article
The use of GSM phones in Nigeria started in 2001 after two communication giants MTN Nigeria and Econet (now Airtel Nigeria) were granted licenses by the Federal Government through the Nigerian Communication Commission (NCC). The study examined the GSM use pattern among five rural villages in Uruan Local Government Area of Akwa Ibom State in South - South zone of Nigeria. The study used the descriptive survey design. Researchers constructed questionnaire titled GSM use pattern and evaluation of income level among rural dwellers questionnaire "GUPEILRDQ" was administered on 500 respondents selected through simple random sampling from the five villages. Results indicate that the use of GSM phone among the people of this community is high. The pattern of use was found to decrease with age while men used GSM more than the women. Study also revealed that the use of GSM has positive impacts on the income levels and socio-economic lives of the people. Majority of the people relied on their friends, children, relatives, political and business associates to recharge their phones. Also most of the people were of the opinion that the introduction of GSM in the area is a blessing. A rural telephony project was embarked by the Federal Government of Nigeria but had been abandoned. Two major telephone operators MTN Nigeria and Airtel Nigeria have been embarking on rural telephone projects in the rural areas. The introduction of GSM in Nigeria has had great impact on the lives of the people.
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Game Analysis on Technology Innovation Purchase under Complete Information
Scientific article
In the fierce market competition, technological innovation becomes a crucial element which effects the sustainable development of enterprises. That enterprises buy technology from the external could save limited resources, so more resources could be put into core business. The external purchase of innovative technology is essentially the results of the game between enterprise and innovative research institutions. The two players in the game analyze counterpart’s policy to choose the best strategy to achieve the greatest benefits.
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Scientific article
Garbage is a major problem, because it can harm human health, cause bad odors, and air pollution. With the existence of trash bins, it seems that it doesn't matter because most people prefer to litter, as well as cleaning workers to check the capacity of the trash can who often forget to cause garbage to accumulate so that it can pollute the environment. To solve the waste problem, especially at universities, a smart campus concept was created to solve the problem of waste management. By utilizing GPS technology, Internet of Things, Wi-fi technology that is already available, and other hardware devices such as Arduino microcontrollers, ultrasonic sensors, and others. With this concept, it is hoped that the cleaning staff will arrive on time to transport the garbage according to the information from the existing application, where the information has shown the coordinates of the full trash can so that cleanliness and comfort are maintained.
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GeoNaija: Enhancing the Teaching and Learning of Geography through Mobile Applications
Scientific article
Recently, researchers have identified several challenges attendant to the teaching and learning of Geography in Nigerian secondary schools. Consequently, in order to address these issues we propose GeoNaija – an educational mobile application platform that aid the teaching and learning of Geography. For the development of the application, we employed the cyclical ever-evolving analysis, design, development, implementation, and evaluation (ADDIE) instructional design method. This method was chosen due to the fact that it is popular, easy to apply, allows for rapid prototyping, saves times and provides continual feedback. The newly developed mobile app will make the teaching and learning of Geography concepts easier, captivating and delightful for both the students and the teachers. The significance and value of the research was made clearly evident through a survey that elicited students’ responses on questions relating to the app’s presentation, visual, navigation and accessibility design. 90 secondary students was used for the survey. The study affirmed that developed mobile application will positively change the perspectives of the students and help eliminate the gap between the conventional and other informal forms of education.
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Harnessing the Power of Artificial Intelligence for Adaptive Learning Systems: A Systematic Review
Scientific article
This research paper delves into the transformative potential of Adaptive Learning Systems (ALS) in revolutionizing education through the integration of Artificial Intelligence (AI). With traditional educational approaches often failing to accommodate individual learning needs, the answer to this problem is adaptive learning system which focuses on personalized content delivery, instructional methods, and assessments. Through case studies spanning various educational contexts, including various countries, higher education, and diverse cultures, we have evaluated the effectiveness of different ALS techniques in terms of different educational needs and requirements. By reviewing these techniques in terms of their features, capabilities and functionalities, we have tried to figure out, how does the use of AI in adaptive learning systems contribute to personalized learning experiences for students. The paper also highlights the key challenges and limitations associated with the integration of AI in ALS. It addresses issues like data protection, analyzes the ALS principles and investigates the ethical consideration which arises during implementation of AI in adaptive learning systems. Furthermore, it underscores the pivotal role educators’ play in collaborating with AI systems to create a balanced learning environment. By providing insights into future directions, such as advancements in personalization techniques and lifelong learning, this paper contributes to understanding the complex interplay between AI and personalized education. Ultimately, the research advocates for the widespread integration of ALS as a transformative approach that has the potential to redefine education and cater to the diverse needs of learners in the digital age.
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Scientific article
During the operation of heated oil transportation pipeline, the shutdown is caused by some pipeline accidents or repairing. In order to ensure the safety operation of the pipeline, determine the temperature drop and restart pressure needed at different shutdown lasting time is important. This paper builds the heated oil pipeline shutdown and restart mathematic model based on heat transfer and fluid mechanics theory. The VB and MATLAB hybrid programming method which is on the basis of COM technical is utilized to develop heated oil pipeline shutdown and restart simulation software. The software application shows using of VB and MATLAB hybrid programming method can reduce the work of algorithm developing and enhance the reliability of heated oil pipeline shutdown and restart simulation software.
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