International Journal of Education and Management Engineering @ijeme
Journal articles - International Journal of Education and Management Engineering
All articles: 685
Application of Network and Multimedia Technology in University Physical Experiment Teaching
Scientific article
University physical experiment is a compulsory basic course for the science and engineering students in the university. To activate students’ enthusiasm in learning and make students master the basic methods and skills of physical experiment, the physical experiment teaching should comply with era development and establish a kind of innovative teaching system to cultivate creative students. This paper discusses the necessity and advantages of the teaching method by applying network and multimedia technology for the teaching of university physical experiment. This method would make full use of network and multimedia technology to activate the students’ initiative and creativity in learning, enhance the students’ efficiency in learning and boost the quality in physical experiment teaching.
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Scientific article
This research aims to obtain the best accuracy in classifying stunting children's data using K-Nearst Neighbor (KNN) by combining Particle Swarm Optimization (PSO). The K-NN algorithm is an algorithm which is an unsupervised algorithm, and is proven to be good in data mining while Particle Swarm Optimization (PSO) show. Better optimization performance compared to other methods. The methodology in this research is data collection, data pre-processing, classification of stunted children, data sharing, searching for the optimal k value to the classification process and performance testing or Particle Swarm Optimization. This dataset has an abnormal data structure where certain attribute values have quite wide ranges.The results of the K-NN classification, the average accuracy of each fold, shows that the highest accuracy was obtained at a value of k = 10, namely 86.08% and the lowest was in the last experiment with a value of k = 7500 of 72.67%. It can be concluded that the higher the k value, the resulting accuracy will increase. Meanwhile, the results of K-NN classification with PSO can be concluded that the higher the w value, the greater the possibility of getting better fitness. This result is also in accordance with research where the best w value is above 0.5 and less than 1. This is because if the w value is more than 1 it can cause the particles in the PSO to become unstable because the resulting speed is not controlled. It is proven from the test results that the range This value produces better average accuracy and starts to decrease again when entering the value w = 1. Then the test results also show that a small value of w can result in the role of particle speed becoming insignificant and can increase the possibility of early convergence. It can be seen from the results of testing the number of PSO popsizes that the highest average accuracy was 93.2% at a value of w = 0.9. From the description above, KNN shows an accuracy of 86.08%, while KNN with PSO increases to 93.9%, so this shows that KNN with PSO is more accurate in classifying stunted children.
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Application of Task-Based Approach in College English Teaching Based on Internet-assisted Multimedia
Scientific article
College English teaching in China is an essential part of the whole education system, but there have been some problems that students have been undergoing with low efficiency and instrumental motivation, and that their language input is confined in what teachers taught. In order to solve the problems, this article designs a test and collects data to check the effectiveness of the task-based approach within the Internet-assisted multimedia in college English teaching. The results show that Linguistic form was analyzed and practiced with task-based approach which may help the learners notice the linguistic problems and try out new language forms and structures, and that Internet-assisted multimedia has been effective in intriguing learners' interests and greatly enhanced their self-esteem.
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Application of memory effect in an inventory model with price dependent demand rate during shortage
Scientific article
The purpose of this paper is to establish the memory effect in an inventory model. In this model, price dependent demand is considered during the shortage period. Primal geometric programming is introduced to solve the minimized total average cost and optimal ordering interval. And finally we have taken a numerical example to justify the memory effect of this type inventory system. From the result it is clear that the model is suitable for short memory affected business i.e. newly started business.
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Scientific article
The cancer cell prolonged and continues proliferation is a major cause of tumorigenesis. In general, Insulin like growth factor receptor (IGF-1R) and Insulin receptor (IR-A) protein are responsible for such cell proliferations. However, with respect to cancers, the specific over-expression of these receptors along with the elevated levels of their agonist, i.e. insulin-like growth factor 1 (IGF-1) and insulin-like growth factor 2 (IGF-2) have shown to be the integral part of cancer cell’s proliferation. The understanding of the dual targeting of (IR) and (IGF-1R) through Artificial Intelligence in tumorigenesis is now considered to be a possible aspect to achieve the desired results. In this research we signify that according to data based on artificial intelligence, the tyrosine kinase domain of these two receptors can accommodates number of small molecules inhibitors to block the ongoing signaling cascade for cell proliferation. It is indeed found to be of paramount importance to develop such candidates as clinical solutions to block the activity of tyrosine kinase domain of IR and IGF-1R. Therefore, this study aims to use artificial intelligence for understanding the key molecular interactions responsible for activation and inhibition of the proliferation signal via tyrosine kinase domain. Further, we optimized docking protocol on crystal structures of such system from protein databank. Our study revealed that H-bond donor and hydrophobic pocket play a key role in the initiation of the signal cascade for cell proliferation. The simulations ran produced an acceptable solution based on the statistical measures of Mathew’s correlation factor and delineated two H- bonds distances between 12-22. Our study also concluded that how a docking protocol can be optimized to accommodate the non-congeneric series small molecules. We successfully ran the simulation to conclude that LYS 1030, GLU 1077, MET 1079 and ASP 1083 amino acids positions play an important role in binding of small molecules to inhibit cancer cell proliferation. This research bridges the gap between in-silico and in-vitro experimentations and paves a way to reproduce the results experimentally.
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Applied the experimental teaching model of three phases into the environmental monitoring experiment
Scientific article
The course of the environmental monitoring experiment is one of the important course in environmental science specialty. And it is also a compositive and practical required course. At present, there are some questions in the practical teaching of this course. Based on these questions, the experimental teaching model of three phases are put forward. That is, the course of the environmental monitoring experiment is divided into three training phases and carried out the teaching models of three phases. It was proved that this teaching model would be fit to develop the teaching quality, strengthenthe operational ability, shorten the adaptive time at working.
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Apply Student-Centered Learning on Computer Education
Scientific article
It has been long noticed that students are lacking the motivation for those type of teacher-centered learning environment. Student-Centered Learning (SCL) is used in the literature to indicate the shift of emphasis from the teacher to the student as the heart of the learning process. In this work we have discussed the methodology of SCL, presented our experience of applying SCL on computer education. Students play the active role in this process and take responsible for their own learning. Tutors are required to use new method to deliver knowledge, being a guider more than an expert.
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Scientific article
With the popularity of network, web is becoming one of the most effective ways in information sharing. However, with the increase of clicking index, a high-function server can hardly meet the increasing demand for service. This thesis provides the schedule strategy in the asynchronous mechanism of multiqueue double servers polling, which is conducted based on theory of polling multi-access and simulation experiments on computer, along with consideration to the load features of Web. It concludes that this strategy enables Web server to take on the features of good extendibility, utility and function.
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Apriori Algorithm using Hashing for Frequent Itemsets Mining
Scientific article
Data Warehousing, data mining and analysis plays a very important role in decision support. Various commercial organisations are using tools based on these techniques to be used for decision support system. Apriori algorithm is a classic algorithm which works on a set of data in the database and provides us with the set of most frequent itemsets. It is used to find the association rules and mines the most frequent itemsets in a set of transactions. Here the frequent subsets are extended one item at a time. In this paper a hash-based technique with Apriori algorithm has been designed to work on data analysis. Hashing helps in improving the spatial requirements as well as makes the process faster. The main purpose behind the work is to help in decision making. The user will select an item which he/she wishes to purchase, and his/her item selection is analysed to give him/her an option of two and three item sets. He/she can consider choosing a combination of two item sets or three item sets, or he/she can choose to go with his/her own purchase. Either ways, the algorithm helps him in making a decision.
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Architecture Design Selection Scheme for Usability Quality Attribute
Scientific article
Usability quality attribute is one of the important quality attributes because it is a basic need for end-user stakeholder. Usability provides the ease of use and learnability to end user. Usability is very useful quality attribute of software architecture and architect should remember about usability aspect. Usability aspect means such type of software architecture which provides the learnability, memorability and performance. In this paper we discuss software architecture design based on usability aspect. Usability is necessary for end-users and business stakeholders. We measure and evaluate the usability through one of the mathematical equations. For the selection of usability aspect, or to evaluate the highest usability score in different architecture designs, we have taken the questionnaire from technical persons on the basis of nonfunctional requirements or sub-characteristics of usability quality attributes such as learnability, memorability and performance. Then finally we calculate the usability score.
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Scientific article
The increase in value of security and privacy is compounded by the rapid advancements in the digital landscape sprouting new problems in information security. This research explores the use of artificial intelligence (AI) to enhance cybersecurity and to strengthen data protection. This research aims to first assess and critically evaluate the potential of applying AI methods to improve predicting, mitigating, and resolving cyber threats while addressing important ethical issues. Specifically, it wants to determine AI’s advantages compared to traditional cybersecurity ways and the plausible technological risks and ethical implications associated with its use. We show that AI tools, especially machine learning and deep learning, can greatly aid the threat detection and response automation. The rise of AI, however, brings forth new vulnerabilities and necessitates stronger ethical frameworks to preclude their misuse. This study offers a balanced view of potential with AI and hazards. The results emphasize the importance of AI in securing both the cybersecurity and data protection portfolio, and urge strongly for ethical standards to be met and the research to be continued in order to mitigate risks and promote responsible AI integration.
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Scientific article
Despite the growing integration of programming education within STEM curricula worldwide, there remains a significant gap in the availability of comprehensive and empirically validated assessment tools, particularly those capable of evaluating students’ broader computational thinking competencies. Addressing this gap, this study introduces a novel rubric grounded in the framework of algorithmic literacy—defined by Kalaš (2011) as a set of skills that enable individuals to manage behavior and attain goals within dynamic, interactive environments. The rubric, comprising four key dimensions—Subject Knowledge, Programming Design, Programming Techniques, and the Learning Process—was developed to assess students’ algorithmic literacy in the context of Scratch-based STEM learning activities. The study was guided by two primary research questions: ⑴ To what extent can the developed rubric effectively assess students' algorithmic literacy in Scratch-based STEM education? and ⑵ What similarities and differences exist between Japanese and Indonesian students in their programming outcomes, and what contextual factors contribute to these patterns? A total of 228 students—132 from Japan and 96 from Indonesia—participated in three intervention lessons focused on programming regular polygons using Scratch. Evaluation of their work revealed high proficiency in Programming Techniques, particularly in utilizing sequential commands and loops, while students exhibited difficulties in integrating complex mathematical concepts and multi-shape design tasks. Comparative analysis highlighted the influence of curriculum structure, access to technological resources, and pedagogical approaches on student performance across the two contexts. The findings contribute a validated and practical tool for assessing algorithmic literacy, offering critical insights to inform the design of culturally responsive and pedagogically effective programming education initiatives.
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Assessment Methodology of Intellectual Potential
Scientific article
In the modern era, when globalization is widespread, the intellectual potential of the population has become one of the factors of socio-economic and innovative progress. The integration of Azerbaijan into the civilized world and the provision of socio-economic development in the country depend more on the development of science and education, the level of development of new scientific knowledge, techniques and technologies, etc. Today, the importance of the formation and capitalization of intellectual potential is assessed as a factor influencing competitiveness at various levels of the economy. At the modern stage of the development of the information-knowledge economy society, the assessment of intellectual potential plays an important role in increasing the efficiency of the national economy. In the article, the existing methodical approaches to the evaluation of the intellectual potential of higher education and scientific-research institutions are comparatively analyzed and summarized. Indicators that allow the assessment of intellectual potential in the field of education and science are presented in the form of a table. Based on these indicators, the assessment of intellectual potential was carried out for the first time with one of the approaches considered, and the results were presented. This will support making optimal decisions for the development of intellectual potential.
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Scientific article
The purpose of this study is to explore factors that influence practical work in chemistry for secondary schools in Wolaita Zone, Ethiopia. The study has identified teachers', learners' and school principals' perceptions to indicate the key factors that seem to inhibit the effective use of practical work in chemistry. The sample for the study comprised 56 chemistry teachers, 75 secondary school students, and 5 school principals. Data were collected using structured questionnaires, focus group discussion and interview. The collected data were analyzed using simple quantitative and qualitative analysis. The finding of the study revealed that factors that influencing practical work in chemistry of secondary schools are teachers' poor knowledge of practical work, full-time occupancy of chemistry teachers, absenteeism of the teacher at practical classes, late commencement of teaching a practical class; lack of awareness and motivation of school managements and unsafe working environments. Furthermore, lack of separate chemistry laboratory, lack of equipment in the laboratory, too short period allocated for practical work, low attitude students' toward practical work in chemistry, teachers' low level of expectation for the development of Information and communication technology (ICT) were the major factors that affect the practical work in chemistry. Finally, recommendations were forwarded based on the major finding in order to improve practical work in chemistry.
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Scientific article
The modern world looks for employable graduates from the outcome based educational institutions. Outcome based education (OBE), creates competitive graduates who can reasonable in world wide. Due to this, now a day’s many educational institutions are starts to implement OBE instead of traditional educational system. OBE has gained much impetus in the education system. With no specific methods of teaching or performance assessment, the outcomes are built on scalability, accuracy, and real-time data. Studies say that OBE increases student centric learning instead of teacher centric. This helps the institutions in accreditations like national board of accreditation (NBA), national assessment and accreditation council (NAAC) etc. Recently some countries are accepted graduates for employment only from the NBA accredited programs. Course outcomes (CO’s), program outcomes (PO’s) and program specific outcomes (PSO’s) are the key terms in OBE. This article provides the course plan, attainment calculation of CO’s, Po’s and PSO’s. Here, author’s considered digital circuits and systems (DCS) as a sample course from undergraduate Electronics and Communication Engineering program. The DCS course considered here have 5 CO’s in apply level (K3). In order to calculate the attainment of CO’s, PO’s and PSO’s, first the mapping of CO’s with PO’s and PSO’s are presented. Then different direct assessment (Formative and Summative) tools like internal tests, assignment, quiz and end semester examinations and indirect assessment tools like course end survey are conducted to evaluate the attainment level of 5 course outcomes. Based on the performance of 128 students, attainment of CO’s are calculated first. PO’s and PSO’s attainment are calculated from the CO’s attainment. From the calculated attainment values suggestions/proposals are made for the upcoming semester.
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Augmented Reality and its Science
Scientific article
Massive innovation enhancements all through the world have ignited wild rivalry among organizations, with each endeavoring to draw in clients utilizing an alternate methodology. Augmented Reality is a relatively new approach (AR). AR is a relatively latest technology which can provide better possibilities than other inventions to match. Conduct of genuine items under specific circumstances, which is especially pertinent to this work. Unfortunately, developing realistic 3D material is difficult in and of itself and necessitates a lot of human labor. Data analysis requires the use of scientific visualization. Augmented Reality (AR), on the other hand, is a relatively new trend that includes the overlay of computer visuals on the actual environment. In this review, we utilize both of these tools to analyze logical information. As a result, we may use graphical representations derived from numerical statistics to enrich reality. A simulated system can likewise be put in an authentic climate to get further knowledge into a peculiarity. essential. This paper reviews research work done in Augmented Reality including the history and technologies that enable augmented reality like the devices and various means of merging real world with virtual world like tracking types. The review gives detailed explanation of various applications where AR is currently being used and discusses future significance of AR where it will be necessary for AR-technology to co-exist with mankind. AR technology is constantly improving and upgrading makes it exponentially more valuable for businesses to adopt AR tech for better profitability.
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Automated Water Managemenrt System (WMS)
Scientific article
Water automation is all about controlling, monitoring and even billing of water usage in different places like hotel, house, irrigation land and industry. The researchers done water automation based on different purposes using different types of hardware and technologies. This paper develops Automated Water Management System (WMS) which can monitor water tank by measuring the water flow, water level, water temperature, cut ON/OFF water supply and send notifications to the user through mobile messaging. All of the things are connected through an android application that is much more efficient and easier to control the whole process.
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Scientific article
The Internet of Things (IoT) is a network of interconnected devices which are outfitted with sensors and Radio-Frequency Identification (RFID) devices. These devices are uniquely addressable and use standard communication protocols like Transmission Control Protocol (TCP), User Datagram Protocol (UDP) and Internet Control Message Protocol (ICMP) in a networking environment. Here devices are communicating with each other without human interaction. The objective of this work is to provide an Automatic Railway Gate Controller, which operates the railway gates without gatekeeper which makes it useful for operation at level crossings. This controller deals with the reduction of time of which the gate is being kept closed and provide the safety to the road users by reducing the accidents that usually occur due to carelessness of road users and the gatekeepers. In addition to this, one more additional module is implemented for the passenger’s convenience. Here, passenger needs to register their phone number via website to get destination arrival notification. This system is cost effective, real time and automatic.
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Automatic Estimation of Emotional Parameters for An Intelligent Avatar
Scientific article
This paper analyzes automatic estimating of emotional parameters from 2D photos based on the MPEG-4 rules. Each affective face image which obtained from a novel picture questionnaire is divided into three parts. The deformation function which calculates the displacements of vertices meshes within the influence of facial animation parameters are discussed. This paper develops geometric and morphological image processing methodologies to lifelike facial expression synthesis. Finally a 3D audio-visual avatar is created which gives the same expression corresponding to the input image. Experimental results are given to support our point of view. The experimental results show that our system properly applied in describing emotional facial expression.
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Automatic Spontaneous Speech Recognition for Punjabi Language Interview Speech Corpus
Scientific article
Automatic Speech Recognition presents natural phenomena for the communication among man and machine. The purpose of Speech Recognition speech system is to convert the sequence of sound units in the form of text description. The main objective of the research work is to develop the automatic spontaneous speech model for the Punjabi language. Punjabi is categorized as a constituent of the Indo-Aryan subgroup of the Indo-European family of languages. So far no work has been done in the field of spontaneous Punjabi speech recognition system. In spontaneous speech system, the sounds are usually unprompted and non- designed and are commonly described by repetitions, repairs, false start, partial words and non-planned words, silence gap etc. In this paper, the focus is on the development of the spontaneous speech model for the recognition of the Punjabi language. The GUI for Punjabi speech model also has been created and tested for the live Punjabi interview speech corpus. The recognition accuracy is 98.6% for Punjabi sentences and 98.8% for Punjabi words. The sphinx toolkit and java programming are used to build a spontaneous speech model for Punjabi live speech.
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