International Journal of Education and Management Engineering @ijeme
Статьи журнала - International Journal of Education and Management Engineering
Все статьи: 625
Assessment Methodology of Intellectual Potential
Статья научная
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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Статья научная
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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Статья научная
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
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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)
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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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Статья научная
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
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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
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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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Bangla News Headline Categorization
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News categorization from various newspapers is important as readers want to read the news by category. But, the readers face difficulty if the news from different categories is presented without any order. This study aims to determine the category of news from online Bangla newspapers. In this context Bangla news headlines data, along with its categories, were collected from various online newspapers through scrapping. Eight categories of news are considered for this work and the headlines of the news are used for categorization. The input data is modeled by the LSTM and GRU neural networks, and the predicted category is compared with the actual category. For LSTM model, the result gives an accuracy of 82.74% and GRU model, The result gives an accuracy of 87.48%. GRU accuracy is higher than LSTM. Because, GRU training performance is faster than that of LSTM. In GRU 64 units used and in LSTM 128 units used for this research. For this reason, it also suggests that the GRU model gives better results than that of LSTM.
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Based on DSP Builder of 2PSK Digital Modem Design
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Through analysis on principles of Binary Phase Shift Keying(2PSK) modulation and demodulation, the design scheme based on DSP Builder of DDS (Direct Digital frquency Synthesizer) is put forward. By using DSP Builder complete modulation and demodulation model, carrier signal was generated by DDS signal source. The circuit hardware structure of this design is simple and easy to implement. The modularized design is rapid and efficient. Its relevent parameters can be adjusted flexibly. The desired effect can be achieved by simulation.
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Based on Network moral Education for Teenagers Path Choices of Dual Influence
Статья научная
Network not only can bring the great convenience for the young people to widen the vision or to get the knowledge, but also can lead to the great wave of mind and moral. Here we analyze the dual influence of network for the teenagers’ ideological and moral, and also raise the route choices of moral education for the network, such as: shifting the moral ideas, enhancing the control of Green-Network Home, improving the adolescents’ personality and prompting the teenagers back to real world.
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Based on The Research and Application of Tengen Software in Architectural Design Teaching Process
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With the continuous development of high technology, architectural design is on the way to paperless digital era. In order to help students grasp and skillfully apply the architectural computer aided design software and cultivate talented architects with the times, this article is going to bring the Tangent software into architectural teaching. On the basis of graphic and elevation design, section design, three-dimensional modeling and so on in architecture, It expounded the early program draft and the control of late deepening program in view of Tangent software, pointing out the interaction between design software and architectural program so as to make students really understand the function of Tangent software and then improve the students' comprehensive skills.
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Behavioral Changes of Children Intelligence for the Extreme Affection of Parents
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A nation's most valuable resource is its children. In the future, a nation will be controlled in the same way that a kid will develop. The majority of parent’s lack expertise about how to help their children develop a positive outlook. We concluded in our study by analyzing the association between parental excessive affection and the development of children's intelligence. Through the use of a questionnaire, information was gathered from 531 families. Whereas 43 percent of parents show excessive affection to their children, while 45 percent lavish proper affection. On the other hand, in our study, 48 percent of the children had an IQ score of less than 49. We have identified the alterations in their child's brain as a result of their parents' blind affection and have also identified remedies to the problem. We analyzed it so that the growth of children's intelligence is not hampered by their parents' excessive affection and that the parents and children enjoy a close relationship with their parents.
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In the past few years, the number of IoT devices has grown substantially, and this trend is likely to continue. An increasing amount of effort is being put into developing software for the ever-increasing IoT devices. Every IoT system at its core has software that enables the devices to function efficiently. But security has always been a concern in this age of information and technology. Security for IoT devices is now a top priority due to the growing number of threats. This study introduces best practices for ensuring security in the IoT, with an emphasis on guidelines to be utilized in software development for IoT devices. The objective of the study is to raise awareness of the potential threats and emphasize the use of secure software development lifecycle. The study will also serve as a point of reference for future developments and provide a solid foundation for securing IoT software and dealing with vulnerabilities. This paper divides the most common concerns with Internet of Things (IoT) security into three primary categories, and then further subdivides each of those categories into other subcategories.
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Best approach to teach advanced programming
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This paper focuses on an approach that could be effective for teaching programming languages such as advanced Java Programming, and involves a new framework implemented using the practical approach along with new framework. Assessment tools were designed to facilitate this kind of approach toward teaching programming. The new approach is implemented by conducting lectures in the lab or laptop facilitated classroom. The subject assessments and delivery methods were modified to include projects and class works. Students were encouraged to apply concepts learnt in the class in an incremental manner leading to a complete software application and also write a reflective report. It adapted the Kolb’s experimental learning style theory. Effectiveness of this approach is evident through a comparison of students’ results obtained after implementation of this approach, with results obtained using the traditional style of teaching.
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Big Data Challenges in Biometric Technology
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This study is devoted to Big Data problems in biometric technologies. It highlights the importance of the use of Big Data technologies in solution of a wide range of issues facing the national security, law enforcement system and defense authorities. The study provides information about Big Data and advanced cloud technologies in the field of biometric technology.
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Bilingual Teaching on Advanced Mathematics
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With progressive development of innovation and technology, education in higher college should keep up with the step of times development, the bilingual teaching of advanced mathematics is just the best choice for students to grasp mathematics knowledge and simultaneously to improve English skills, and it will be an important link in improving the quality of the entire Chinese nation. Through the bilingual teaching practice, the authors put emphasis on the important role of bilingual teaching in advanced mathematics, and further raised strategies in how to improve university students’ comprehensive ability based on bilingual teaching of advanced mathematics.
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Binary Encoding Differential Evolution for Combinatorial Optimization Problems
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Differential Evolution algorithm is a new competitive heuristic optimization algorithm in the continuous field. The operators in the original Differential Evolution are simple; however, these operators make it impossible to use the Differential Evolution in the binary space directly. Based on the analysis of problems led by the mutation operator of the original Differential Evolution in the binary space, a new mutation operator was proposed to enable this optimization technique can be used in binary space. The new mutation operator, which is called semi-probability mutation operator, is a combination of the original mutation operator and a new probability-based defined operator. Initial experimental results of two different combinatorial optimization problems show its effectiveness and validity.
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Blockchain Based Secure Traffic Police Assistant System
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There are large numbers of vehicles in the populated country like India. It’s a very common scenario that traffic police came across some vehicle random vehicle and had some doubt in mind but do not have in hand information about that vehicle and end up leaving that thought. Sometimes this may result in some disaster. With the advent of technology, there are mobile applications and web based systems are available to ease up the process by which traffic police can fine the vehicle owner or people can pay the fine online. But yet there is no system is available through which traffic police can get all the details about the particular vehicle. This motivated us to design and developed an application thorough which traffic police can get all the information right from owner of the vehicle to its RC book and insurance status on just one click. Looking at the chances of data tampering, we have also played an attention to the data security and used blockchain for creating distributed, robust and tempered proof system. In this paper we have discussed traffic police assistance system, which can scan the vehicle number plate, identify the number and provide the all the information and documents stored against that vehicle number. To address the issue of data security and alteration of sensitive data blockchain is used so that any alteration can be monitored. As the complete information process is dependent on how correctly the vehicle number is identified, so the number plate recognition module is tested thoroughly under various conditions. Finally user feedback is taken and analyzed to evaluate the feasibility and usability of the proposed application.
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Purpose: Ischemic brain strokes have a high morbidity and death rate, thus it’s vital to obtain a quick diagnosis and imaging. Computer-aided diagnosis (CAD) has become popular in medical imaging and diagnostic radiology research. In the field of medical image analysis, deep learning (DL) approaches have recently shown greater performance over earlier, more advanced machine learning techniques. Acute Ischemic stroke (AIS) is one of the medical sectors where DL has conducted substantial research. The systematic review examines the performance of deep learning models across different imaging modalities, highlighting their strengths and limitations in identifying ischemic strokes. Key aspects such as sensitivity, specificity, and overall accuracy are assessed, providing insights into the comparative effectiveness of CT, MRI, and CTA in stroke detection. In contrast with other reviews in this domain, this paper offers a concise summary of the most notable DL methods applied in the classification, detection, and segmentation of acute ischemic brain stroke, focusing on popular imaging techniques like Computed Tomography (CT), Magnetic Resonance Imaging (MRI), and CT Angiography (CTA). This survey also highlights datasets and data acquisition challenges and attempts to provide a comprehensive overview of data preprocessing, as well as insight into publicly available datasets. Methods and Results: This study aims to give an idea of how training and testing datasets should be handled by evaluat- ing recent studies. This review discusses the challenges associated with each imaging modality, including image noise, artifacts, and variability in acquisition protocols. Strategies to mitigate these challenges through preprocessing techniques and model optimization are explored, aiming to improve the robustness and reliability of deep learning-based stroke de- tection systems. Moreover, this research contains a brief discussion of recent deep learning architectures and an analysis of performances. Conclusions: Overall, this systematic review contributes to the understanding of current advancements in brain ischemic stroke detection through deep learning, offering valuable insights for researchers and clinicians seeking to leverage these technologies for improved patient outcomes. Future directions and potential research avenues are also discussed to guide further advancements in this critical area of medical imaging and diagnosis.
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