Статьи журнала - International Journal of Education and Management Engineering
Все статьи: 590
Application of DFS in the Study of Edge-connected Graph
Статья научная
In this paper a simple method is proposed to determine whether a graph is edge-connected. This method may calculate the minimum pre-order number of each vertex by back edge for the depth-first search spanning tree, and then find out the bridges in the graph. Finally, it may determine whether the graph is edge-connected. The best nature of method is to understand and hold the algorithm easily. It can help teaching improvement and practice application. It is also worth popularization.
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Статья научная
This study aims to identify digital audio forensics using the System Development Life Cycle (SLDC) method which is used as a reference in the audio forensic investigation process. The process of testing the application of the framework that was carried out succeeded in identifying audio evidence with the identification results that subject x sampling (known) was identical to recorded evidence (unknown) with the results obtained for more than 4 identical words and supporting the prosecution hypothesis. Also, the results of the feasibility test of a framework that has been developed as a reference standard for comparison of frameworks related to other audio forensics, show that the framework that has been developed has a more complete stage to be used in the audio forensic investigation process. The results of Spectrogram analysis and Pict analysis on values matrix cross similarity level of evidence with audio subject Nasri4Y has the highest similarity value 0.9575822. The results of reading the audio evidence matrix with audio subject Bakrim5Y have the lowest similarity value 0.48924464. The results of reading the matrix, audio subject- B with audio subject Bakrim3Y have the highest similarity value of 0.9287775 because it is a sample voice from the same person. The results of the reading of the matrix, Nasri2Y audio subject, and Nasri4Y audio subject have a similarity value of 0.9575822 because they are sound samples from the same person. The results of reading the matrix audio subject Nasri2Y with audio subject Nasri4Y have the highest similarity value of 0.9575822, from this result it can be said a significant value because the audio subject Nasri2Y and Nasri4Y have the most similar level of sound samples from other subjects because Nasri2Y and Nasri4Y are sound samples from the same person.
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Application of Greedy Algorithm on Traffic Violation Enforcement
Статья научная
The background of this research is how the application of the algorithm in traffic control systems, with the Greedy algorithm, the system will decide what action and what punishment will be given to traffic offenders on the highway, with the Greedy algorithm, the decisions taken will be based on data and facts. based on existing laws, so decisions made based on law and the human side cannot influence the decisions to be taken by the system based on the application of the Greedy algorithm. The research method used in this study uses literature reviews by reading many previous research journals, it will be able to add knowledge and deepen the research we are doing this time, with the literature review method, we will be able to find new problems and can be used as new research because The literature review is very helpful for our research this time. The system that is being used is using CCTV and can determine what decisions and punishments will be given to traffic offenders, through evidence based on images taken by cameras placed at red lights or corners of the capital's highway, the system this has been active effectively but with the implementation of the algorithm will increase. This research will produce a system proposal and be able to find out whether the application of the Greedy algorithm is correct and can help the current system by implementing the algorithm, so the existing system is more perfect. The main contribution of this research is that the use of the Greedy algorithm can help control the traffic system to enforce the law.
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Application of Network and Multimedia Technology in University Physical Experiment Teaching
Статья научная
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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Application of Task-Based Approach in College English Teaching Based on Internet-assisted Multimedia
Статья научная
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
Статья научная
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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Статья научная
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
Статья научная
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
Статья научная
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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Статья научная
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
Статья научная
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
Статья научная
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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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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Augmented Reality and its Science
Статья научная
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)
Статья научная
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
Статья научная
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
Статья научная
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
Статья научная
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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