Статьи журнала - International Journal of Education and Management Engineering
Все статьи: 590
An Empirical Study of Learning Outcomes Based on Active Versus Passive Teaching Styles
Статья научная
This paper compares the impact of an active teaching approach and a passive teaching style on student cognitive outcomes. Through two sections of an introductory Management course, one part was taught in an active manner, with a variety of active learning exercises. The other was taught in a passive way, emphasizing daily lectures. Across the empirical study, we conclude that active learning can improved cognitive outcomes in class-specific materials.
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An Empirical Study of the Cultivation of Autonomy Through Metacognitive Strategy Training
Статья научная
Many researchers have found that there is an inseparable relationship between learner autonomy and meta-cognitive strategy training, this thesis intends to explore the effectiveness of meta-cognitive strategy training in fostering learner autonomy and English performance in college non-majors learning under the web-based learning environment. The learners involved in the study are classified into two groups, one group accepted the meta-cognitive strategy training. The research adopted questionnaires and final examination achievements to give a quantitative description of the relationship between autonomy and meta-cognitive strategy training and adopted the journals and interviews to give a qualitative description. By using SPSS 13.0 to analyze the data of descriptive statistics, independent samples T-test and qualitative study, the study comes to the conclusions: 1. the meta-cognitive strategy training has a higher effectiveness in promoting the experimental group’s learning performance. 2. on the whole, it’s effective in promotion of the students’ learner autonomy, but not very obvious. The results in five aspects of learner autonomy are different: the training has a distinct effect in promoting the learners’ goal-setting, planning and self-monitoring, and has a unobvious effect on the ability of application of learning strategies, extracurricular studying and self-evaluation. The researcher also argues that through the meta-cognitive strategy training to foster the students’ autonomous learning ability is helpful but not the only means. Under the web-based college English teaching environment, we should explore more different methods to improve the learners’ autonomous learning ability.
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An Empirical Study on Concordance-based English Collocation Teaching
Статья научная
The wide use of computer has led to the reform in modern English teaching approach. Computer concordance, a new multicontext presentation mode, provides a new way for collocation teaching. This study explores if there is any difference between on-line concordancer teaching approach, concordance-based explicit teaching approach and traditional deductive approach on college students' collocation use and retention. The findings provide empirical support for concordance-based explicit teaching approach's superiority to other approaches in promoting the immediate use and long-term retention of target collocations, which is measured by immediate and delayed test. Teachers are well-advised to pick up the typical concordance lines deliberately, annotate difficult words when necessary before handing out worksheets to learners.
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An Empirical Study on Determinants of Sustainable Development of Coastal Eco-tourism
Статья научная
With the popularity of eco-tourism, the sustainability of its development has become a focus problem in both theoretical and practical fields. Based on existed research, the study summarized the determinants of sustainable development of coastal eco-tourism as four aspects, that are resource environment, economic environment, social environment and management control. And we tested the path and degree of various factors’ influence through the empirical method. Finally, we made suggestions on the development of coastal ecotourism for related departments and enterprises.
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An Empirical Study on Make-or-buy Decision Making
Статья научная
Every enterprise will be based on the other enterprise to manufacture, product items/parts, for make or buy. The make-buy decision is based on the assessment whether it should be manufactured or buy it from an outside supplier to produce a component internally or to buy it from the outside. It depends on cost and profitability. The cost for both the alternatives may be calculated and the alternative with less cost is to be chosen. The aim of any enterprise is to improve its performance that is measured in terms of profitability. There is some research that has been carried out to make the decision based on profitability of the enterprise for make or buy decision. The strategy is based on cost, flexibility and responsiveness of work to be carried out. However, some of the research is required to maintain the relationship between profitability and make or buy decision. The reports of this paper attempt made on how buying decision influences the performances of an enterprise. The different sectors were chosen for the study such as Manufacturing, Automobile, Food, Textile and Hospitality. The focus of the study was based on three theories such as operational control, performance management and decision. The paper reveals the current trends and make or buy decision of the components and its relationship in taking decisions. It also discusses the two techniques break even analysis and economic analysis for decision making in make or buy decision. The study discusses the advantage of outsourcing and discusses the four theories in the study for make and buys decision
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An Enhanced Data Sparsity Reduction Method for Effective Collaborative Filtering Recommendations
Статья научная
Collaborative filtering recommender system suffers from data sparsity problem due to its reliance on numerical ratings to provide recommendations to users. This problem makes it difficult for the system to compute accurate similar neighbours for the items and provide good quality recommendations. Existing methods fail to pre-process the missing ratings of the new items and to predict cold items to the active users which lead to poor quality recommendations. In this work, a sparsity reduction method is presented to improve the quality of recommendations. The method utilises Bi-Separated clustering algorithm to cluster the ratings matrix simultaneously into users and items bi-clusters based on ratings classification. It also employs Bi-Mean Imputation algorithm to fill the missing ratings in the bi-clusters using the estimated means. The method then performs the traditional collaborative filtering process on the new rating matrix for cold items prediction. The experimental results demonstrated that compared to the existing method, the proposed BiSCBiMI improves density of the rating matrix by 5.75%, 10.73% and 7.35% as well as Mean Absolute Error (MAE) of the new items prediction for all of the considered datasets. The results indicated that, the proposed approaches are effective in reducing the data sparsity problem as well as items prediction, which in turn returns good quality recommendations.
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An Evaluation Model of Tuition Fee in Higher Education
Статья научная
This paper surveys evaluation and pricing of tuition fee from two perspectives: society and school. We use the optimization theory in fuzzy mathematics and operations research to establish the evaluation model based on overall society and school satisfaction degree; Taking maximum overall Satisfaction degree as our goal and all factors of comprehensive tuition fee evaluation as the restriction, we establish the optimization model of tuition fee pricing to get the tuition standard in higher education. Then we classify disciplines according to the specific reality and calculate the grades and reference prices in disciplines of three schools in Guangdong Province, China. We further obtain the reference tuition fee in other provinces using the regional conversion coefficient. At last we give our directions for tuition fee pricing of higher education.
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An Example of Course Project of Real Time Multitask Programming
Статья научная
This paper states a multi-task programming course project experiment item of real time operating system VxWorks. The project is an emulator of railway ticket vending machine. Its research background is Wuhan-Guangzhou high speed railway line ticket vending machine. The contents of the paper includes process flow, function design and analysis, data flow analysis, task division and definition, semaphore control application, test results, etc.
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Статья научная
The main objective of this study was to explore the practice of traditional church education specifically Zema-Bet education in the three selected Ethiopian Orthodox Tewahido churches found in Bahir Dar city. In doing so, a mixed-method research approach with the convergent parallel design was employed. To achieve the purpose of the study, all the three churches of Zema-Bet education teachers, 90 learners, and three leaders were included in the study by using comprehensive, simple random, and purposive sampling techniques, respectively. An open-ended questionnaire, observation, semi-structured interview, and document analysis were employed for data collection. The collected data were analyzed via descriptive analysis technique and data driven word-by-word thematic narrations. The obtained results confirmed that Zema-Bet education learners usually learn by themselves, and sometimes through peer-led groups under the tree shade. The findings further revealed that some of the principles of adult learning (like practical oriented, motivation to learn, self-directed learning, etc.) are applied in Zema-Bet education. Based on the findings, it is recommended that the government should build a teaching-learning center like what has been done in modern education to resolve the absence of well-furnished buildings and teaching-learning places. Moreover, the government, private agencies, and non-government organizations should support Zema-Bet learners by funding and providing learning materials. Attendant offices of the ministry of education should give attention and recognize traditional church education as one basic education modality and center for adult learning.
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An Image Impulsive Noise Denoising Method Based on Salp Swarm Algorithm
Статья научная
Image noise denoising is a very important task in image processing. Aiming at the shortcomings of traditional median filtering to handle image impulse noise, an approach based on Salp Swarm Algorithm (SSA) to eliminate image impulse noise is presented in the paper. In this method, the improved extremum method is used to detect the position of impulse noise pixels, and then the Salp Swarm algorithm is used to find the optimal pixel value instead of the noise pixel to complete the denoising process of the image. Experimental results testfies that image impulse noise could be effectively filtered out through the proposed method and the manipulated image is clear and more detail could be revealed for human vision.
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An Improved Flower Pollination Algorithm with Chaos
Статья научная
Flower pollination algorithm is a new nature-inspired algorithm, based on the characteristics of flowering plants. In this paper, a new method is developed based on the flower pollination algorithm combined with chaos theory (IFPCH) to solve definite integral. The definite integral has wide ranging applications in operation research, computer science, mathematics, mechanics, physics, and civil and mechanical engineering. Definite integral has always been useful in biostatistics to evaluate distribution functions and other quantities. Numerical simulation results show that the algorithm offers an effective way to calculate numerical value of definite integrals, and it has a high convergence rate, high accuracy and robustness.
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An Improved Multi-objective Evolutionary Algorithm with the Hybrid Strategies
Статья научная
An improved multi-objective evolutionary algorithm with the hybrid strategies is presented in this paper for multi-objective optimization problems. The evolution process is divided into initial exploration stage, the middle feedback stage and the accelerating convergence stage by the amount of non-dominated individuals in the population. The hybrid strategies and adaptive population structure are employed to improve the behavior of the algorithm at the different stages. The proposed algorithm is validated by 3 benchmark test problems. Compared with three other famous multi-objective algorithms by two quality indicators, the proposed algorithm achieves competitive results.
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Статья научная
The mobility of Migrating Instance（MI） brings many risks to the migrating workflow system. Especially, the codes of MI face the risk of being maliciously manipulated by the hostile working places. This paper presents an initiative mechanism of safe-guarding the codes of MI based on danger theory: for MI consists of several modules in order to complete relative tasks, MI will detect whether the block MI determines to run changed before executing. If there are some changes, MI will then perceive whether the changes dangerous; if dangerous, appropriate measures will be taken to amend the damaged codes and then obfuscate them lest this module will be attacked easily again. This mechanism improves the efficiency of MI compared with other mechanism, and makes MI avoid temporary attacks, which are illustrated with the experimental results at the end of this paper.
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An Intelligent Survey of Personalized Information Retrieval using Web Scraper
Статья научная
In this paper we aim to do an intelligent background survey of Personalized Information Retrieval, a specialized and crucial subsection of Information Retrieval or IR. We have chosen the method of IR as Web Scraping, a technique that is extremely popular and is proven to have multi-domain usage.
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An Internet of Thing based Agribot (IOT- Agribot) for Precision Agriculture and Farm Monitoring
Статья научная
Developing nations like India have a huge potential for agricultural business and better cultivation. Because of the large size of cultivation land, improper water supply systems and lack of technology-based agricultural practices, there is a huge gap among expected and actual quantity and quality of agricultural products. Hence there is a need for significant revival in agribusiness using emerging technologies. The article proposes an intelligent water framework device called Agribot designed for the agricultural industry to minimize the water wastage and a better supply of cultivating materials using the Internet of Things (IoT). Our proposed IOT- Agribot will energize the water framework, improve the cost-effective water usage and reduce the labor force to achieve precision agriculture. The proposed IOT- Agribot has performed well for variable weather conditions, soli type, moisture content and crops.
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An Investigation on the Metric Threshold for Fault- Proneness
Статья научная
The software quality can be enhanced with the awareness and compassionate about the software faults. We acknowledge the impact of threshold of the object-oriented metrics on fault-proneness. The prediction of fault-prone classes in early stage of the life-cycle assures you to allocate the resources effectively. In this paper, we proposed the logistic regression based statistical method and metric threshold to reduce the false alarm for projects that fall outside the risk range. We presented the threshold effects on public datasets collected from the NASA repository and validated the use of threshold on ivy and jedit datasets. The results concluded that proposed methodology achieves the speculative results with projects having similar characteristic.
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Статья научная
Modern technologies like 5G, the Internet of Things (IoT), and Artificial Intelligence (AI) have just come together, creating previously unheard-of chances for creative solutions. As a result, several IoT use cases have come to fruition, particularly in the healthcare industry, enabling the creation of eHealth and mHealth applications for ambient assisted living (AAL). However, there are practical issues with the current healthcare system, such as service delays and exorbitant expenses, which have had serious repercussions, such the untimely passing of famous people from heart attacks. Real-time patient monitoring and therapy with few delays are necessary to solve these pressing challenges. IoT has changed the game in this area by making it easier to establish Remote Patient Monitoring (RPM) systems. Vital indicators can be sent in real time to clinicians using IoT-enabled wearable devices (biosensors), enabling quick intervention and the start of treatment. This article gives an overview of the state-of-the-art in RPM using IoT, highlighting its potential to save time, lower healthcare expenses, and considerably raise patient quality of life and the caliber of healthcare services. It also identifies research holes and ways to use RPM systems, laying the groundwork for further development in this area.
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An approach for software development for the management of an assembly line
Статья научная
The article presents an approach for software development for the management of an assembly line. Basic software tools and hardware solutions that are needed for the development of the software are described. Design of specific software for the management of an assembly line for bottling liquid food products is presented. A specially developed algorithm for the management of the assembly line is described. The realization of the management of the assembly line in the programming environment Simatic Manager Step 7 and the developed user interface in the graphical environment Simatic WinCC Flexible are also presented. The design of software for the management of an assembly line for bottling liquid food products is extremely important for the development of automated manufacturing in Bulgaria. After detailed testing of a trial version of this software, it will be used in Bulgarian company for the management of an assembly line for bottling liquid food products. The developed software is an open system that can be continuously updated and improved. This software is applicable in all manufacturing plants for bottling liquid products from canning, pharmaceutical, cosmetic industries and many others.
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An approach to represent social graph as multi-layer graph using graph mining techniques
Статья научная
In Social Graph, a set of entities or nodes or vertices interact with each other in a complicated manner that can form multiple types of relationships that depend on time and types of complications. Such graphs include multiple subsystems and layers of connectivity. So it is important to take such multi-layer features into account to make easier of understanding of such complex systems. In this paper, the author focuses on a Social Graph to represent in a multi-layer graph based on its characteristics lies in each node or vertex or entity. For this, the author proposes a general model related to Social Graph. For this model, the author proposes an algorithm, SoGraM for representation of Social Graph with multi-layer features using Graph Mining Techniques. Further, the author tries to prove the proposed algorithm with three examples of Social Graph namely Author Graph, Email Graph, and Telephone Graph.
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An efficient Group Key Management Scheme for Ad Hoc Networks
Статья научная
Ad Hoc networks are characterized by frequently changing network topology. Due to the lack of central authority, forming security association among a group of members in Ad Hoc networks is more challenging than in traditional networks. With the view in mind, group key management plays an important building block of any secure group communication. In this paper, we proposed a group key management based on Identity-based Cryptosystem and Chinese Remainder Theorem. In the proposed scheme, there are no requirements of member serialization and existence of a central entity. Besides this, the scheme the protocol also many highly desirable properties such as contributory and efficient computation of group key, uniform work load for all sensor nodes and efficient support for high dynamics. Compare to other existing group key agreement protocols, the proposed protocol make no assumption about the structure of the underlying wireless network, making it suitable for Ad Hoc networks.
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