Статьи журнала - International Journal of Education and Management Engineering
Все статьи: 590
Flow Analysis of Fresh Vegetable Box Based on Multiporosity Material
Статья научная
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
Статья научная
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
Статья научная
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
Статья научная
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
Статья научная
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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Статья научная
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
Статья научная
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
Статья научная
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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Статья научная
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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Статья научная
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
Статья научная
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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Статья научная
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
Статья научная
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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Статья научная
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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Статья научная
With advent of technology online education has become the core of educational settings worldwide. This paper aims to identify the factors that contribute in enhancing the online learning usage model in context of India, an emerging leader in Educational settings across the globe. In this study, data mining techniques were applied on the data collected from the log files of online courses. The initial investigations supported the use of custom build framework for teaching online courses. Data Structure course was taught using online platform and the data was collected using the log files. The data collected was further analysed using data mining techniques using Rapid miner tool. Although the results from three different data mining techniques showed some variations but the inferences from the results identified few common factors that have influence on enhancing the online learning usage model. Clustering techniques revealed that factors related to timely checking of online contents and posting have positive impact on online learning however decision trees supported that timely completing the online assignments along with checking of online contents and posting of messages played an important role in terms of enhancing the academic performance. This paper identifies three factors for teachers teaching online courses to improve overall performance of the students by learning from Indian University Success.
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Статья научная
In this paper, we present a novel computational framework for assisting and assessing memorization tasks. Such a framework can be used in any cases where certain level of memorization is needed, like in memorizing words/sentences, learning (programming) language structures, etc. We aim to identify the common memorization steps followed in various disciplines and then automate some of these steps to enhance memorization process. Particularly, we focus on annotation of texts (used for memorization) based on state of the art image processing techniques. Once texts are annotated and optionally commented, personalized tests can be automatically generated, focusing on the weakness of a particular student. These tests can further enhance the memorization process. As a case study, we have implemented the framework for a classical example of memorization: memorizing the Qur’an, the sacred book in Islam. Qur’an memorization is a well-known process since the early days of Islam and represents an ideal case for implementing the proposed framework.
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Impact of COVID-19 Pandemic on the Human Behavior
Статья научная
The world has witnessed a sudden change of horizon in the legacy, lifestyle of the human being due to the COVID-19 (Corona virus). The set protocols made by the different states of the world to harness the available resources on earth for human development came under a halt due to COVID-19. We have conducted a study on the immediate effects and the unprecedented change in the world we live in due to the ongoing pandemic. The paper aims to discuss and analyze the impact of this on the people and suggesting the appropriate remedies. The data collected has been done through online modes and the behavior of the people is observed, analyzed, and finally the results are represented with suitable assessments. During the study, few important parameters taken under consideration are the impact of COVID-19 on health, relationships, lifestyle, online education, screen time and income, etc. The paper aims to highlight the immediate impact of the COVID-19 on the behavioral change of the people and assessment of awareness in the general population about COVID-19.
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Статья научная
Adequate information about climate change helps farmers to prepare and helps boost crop yield. Over the years, crops prediction was performed by manually considering farmer's experience on the particular crop in relation to the weather. This method was Inadequate, depends on the farmer's unreliable memory and grossly inaccurate. There is a need to introduce computational means to study and predict optimal climatic factors for improved crop growth and yield. The aim of this research work is to study the impact of climatic changes on the yield production of roots and tubers crops. K-means classification algorithm, Multiple Linear Regression, Python programming language, Flask Framework, Python machine learning packages numpy, matplotlib, Scikit-learn are the methodology used. While the obtained results show that CO2 Emission and Temperature does not really play a key role on how climate impact yield of root and tubers, rainfall plays more role; therefore, the study concludes that the three variables (temperature, rainfall, and CO2 Emission) are not enough to predict agricultural yield. It is therefore recommended that further research should be carried out to determine how other climatic factors such as soil type; humidity, sunlight etc. affect the yield of crops. The objective of this research is to study climatic change using data mining techniques, to design a predictive model using multiple linear regression to find the most optimal temperature and rainfall for effective crop yield and to simulate the multiple linear regression model design that achieve a high accuracy and a high generality in terms of climate change to crop yield.
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Статья научная
In the present situation, COVID-19 is a very common and dangerous issue in the whole world. Ensuring our healthy mental state is very essential at the period of COVID-19. But as a result of being in the home quarantine for a long time, people are going to notice a mental change such as stress, depression, mood swing. We proposed an RHMCD model which helps us to reach our required goal. This model contains machine learning algorithms. We examined our work with Naive Bayes classifiers, Support Vector Machine, and logistic regression. For gaining the report of mental conditions we used the sentiment analysis technique. For measuring the level of depression we also used a decision tree approach.
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Implementation of Computer-assisted Learning in High School: Teachers and Students’ Perspective
Статья научная
This study intends to identify school readiness in implementing information and communication technology (ICT) assisted learning, especially the use of computers. This research applied descriptive quantitative. The research samples used were subject teachers and second grade of high school students. The data collection technique employed a survey method, carried out with a random questionnaire distribution to the research sample. The results of the research sample responses were analyzed quantitatively by interpreting the percentage. Information was obtained that schools were basically "ready" to implement ICT-assisted learning. Student responses’ results showed that 55% of students "agreed" that the school had a computer laboratory, meanwhile 41.7% of students stated that they had sufficient ability at operating computers. The teachers' responses showed that the school already has supported the computer-assisted learning process and they are interested in integrating ICT in classroom activities. This research can be a basis for educators in identifying the extent to which students, teachers and school facilities are prepared to support computer-based learning. Given that computers are one of the technologies that can be used for learning activities and have been empirically proven to be able to make it easier for students to understand learning material.
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