International Journal of Education and Management Engineering @ijeme
Статьи журнала - International Journal of Education and Management Engineering
Все статьи: 625
Data Analysis and Success Prediction of Mobile Games before Publishing on Google Play Store
Статья научная
The popularity of mobile games has expanded among individuals of all ages, and the mobile gaming businesses are quickly expanding day by day. The Google Play Store, one of the most well-known platforms for the distribution of Android applications and games, sees a daily influx of thousands of new mobile games. One of the biggest problems in the gaming industry is predicting a mobile game's performance. Every day, thousands of new games are released. But just a couple of them are successful, while most of them fail. The study was done with the intention of analyzing any relationship between a mobile game's success and its distinctive features. Many of the mobile game developers work independently or work in the mobile game industries to make their games successful on the digital market. Before they are released, game makers can increase the quality of their games if they are confident in their products' commercial viability. For that reason, more than 17,000 games were taken into consideration. We show that the success of a mobile game is clearly influenced by its category, number of supported languages, developer profile, and release month. Furthermore, we show that specific aesthetic features of game symbols are more frequently linked to higher rating counts. We analyzed Google Play Store mobile games data and used a variety of machine learning algorithms for predicting the performance of mobile games based on the total number of downloads and the total user rating.
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Статья научная
Microbial Fuel Cell (MFC) is a bio-electrochemical device that generates electric current by using bacteria. MFCs are currently a topic of intense research and interest due to their ability to produce renewable energy along with added benefits such as wastewater treatment. Although the theoretical concepts and applicability of MFCs are great, their application, thus far has been limited due to the limits of power production. Current research aims to improve the efficiency as well as the upper limit of power production by MFCs. In parallel to current research, this study is designed with a similar aim to do a comprehensive data analysis on the topic of MFCs by using techniques of Artificial Intelligence. Therefore, we started this study by obtaining the relevant data through an extensive literature retrieval for developing Artificial Neural Network model. The data from the output layer was viewed by using VOSviewer software and was further subjected to analysis. The data collected through machine learning provided an insight about the optimal conditions of MFCs which would allow for maximum current production. It discusses two existing types of MFCs; namely mediator type and mediator free type of MFC. Anode respiring bacteria (ARB), also known as exoelectrogenes can be used as the mediator to transfer electrons by utilizing the substrate present at the anode. Our results suggest that different combinations of bacterium and biofilms can produce more electric current with improved stability. This study will provide an insight to improve the working capacity of MFCs. It is likely that MFCs will one day be used as a stand-alone power production method by optimizing the current production capacity. Moreover, these advancements will have a significant by utilizing MFCs for making chips and biosensors, and treating wastewater.
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Decision Support System for Drug-Drug Interaction Pertaining to COPD and its Comorbidities
Статья научная
A Drug-Drug Interaction is an alteration in the impact of a drug when consolidated with another drug or group of drugs. Drug interactions are common and have caused increased hospital admission rates, treatment failures, avoidable medical complications, and even deaths. Studies have found multiple drug usage, and age-related comorbidities to be the reasons for the interactions and this demands a general study. Here in this paper, we discuss the Drug-Drug Interactions between Chronic Obstructive Pulmonary Disease (COPD) and its associated comorbidity diseases. We have designed a Drug Decision Support System which helps the Physicians to check the Drug-Drug interaction between Chronic Obstructive Pulmonary Disease and its associated comorbidity diseases. COPD is a fourth decade disease means after age 40 it may be diagnosed and is currently fourth largest killing disease. Study says one of the major cause for COPD is smoking (active/passive). As there is no cure for COPD yet. The patient’s life can be improved by providing better treatment and management strategies. Once the patient is diagnosed with COPD the patient may also end up suffering with the comorbidity diseases associated with COPD like Asthma, Depression, Dementia, Diabetics, Heart Failure, Hypertension, Hypotension, Obesity, and Osteoporosis. The patient has no choice but taking the prescribed drugs for COPD and other comorbidity disease he is suffering from. Therefore the proposed work plays a vital role in avoiding the drug-drug interaction between COPD and its associated comorbidity diseases.
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Democratizing IT: A Cloud Computing Framework
Статья научная
Information technology (IT) is indispensable in the present day business scenario and equally sought by established as well as the new enterprises. Consequently, need is to democratize the IT resources in order to offer enough opportunities to everyone to grow. A new emerging paradigm termed as cloud computing is attempting to democratize the IT procurement and usage. This work has proposed a framework that maps the democratic values offered with the help of cloud computing. Various key features are mapped that are enablers in the proliferation of the democratic values including equal opportunity, share-ability and minimum upfront cost. Finally, this article also highlights the key initiatives by the various governments in order to promote democratic values through the cloud computing.
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Depression Detection: Unveiling Mental Health Insights with Twitter Data and BERT Models
Статья научная
Social media platforms serve as avenues for individuals to express themselves and share pertinent details concerning their mental well-being through posts and comments. However, many individuals tend to overlook their mental health. This data lends itself to insightful analysis of an individual's psychological state through sentiment analysis techniques. The research explores the utilization of sentiment analysis techniques on social media data, specifically focusing on mental health discussions. Data gathered from platforms like Twitter is preprocessed and then used to train various Transformer models including DistilBERT, Albert, and a hybrid BERT-CNN model. Notably, the BERT-CNN hybrid model achieved a remarkable accuracy of 95%. This outcome underscores the effectiveness of advanced model architectures in analyzing mental health-related sentiment on social media. The significance of this research lies in its potential to offer valuable insights into individuals' mental states through computational analysis of their online expressions. The study's thorough methodology, encompassing data collection, preprocessing, and model training, sets a strong precedent for future research in this domain. Additionally, the successful performance of the BERT-CNN hybrid model highlights the importance of innovative model design in achieving accurate sentiment analysis results. Overall, this research contributes to the growing body of knowledge aimed at leveraging technology for mental health awareness and support.
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Design Online Learning System for Kampus Merdeka: A Case Study Web Programming Course
Статья научная
Distance learning is an online-based learning model with an open model or a combination of face-to-face learning models. Currently, the term "Independence Campus" implies that students are given the option of attending lectures on campus or off campus according to their talents and interests, one of which does not leave the nature of online lectures. Currently, the learning model that can provide one of these facilities is the Massive Online Open Course (MOOC). This online learning can provide access anywhere and anytime by integrating technology into the learning process that can help improve the ability to understand the material. In this study, it will be measured how learning design using MOOC for "Kampus Merdeka" can affect the implementation of lectures, especially for the Web Programming Design course. A trial will be conducted to be able to see the effect of the implementation of the use of MOOC on the users of this MOOC. The choice of case studies for this course is because this course can provide practical learning activities that require an understanding of a strong theoretical basis so that it can be implemented in practicum. The result of learning web programming with the online learning design method using MOOC, which is useful for students is that they can practice source code directly through MOOC. In this study, the effect of using online learning design with MOOC which was attended by 30 people showed that an average of 78.2% was interested in joining MOOC online classes. This interest is because MOOC can provide self-development models such as material in the syllabus, learning videos and the ability to do practicals
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Статья научная
Smart Class Routine Management System (SCRMS) is a web application that able to generate an error-free and effective class schedule automatically. At present, most of the academic institutes like schools, colleges, and universities follow the traditional manual process to create class routines. Thus, there is a high probability of making errors in overlapping timetable period or slot and definitely a valuable amount of time is wasted as there are many things to be considered. SCRMS comes with the intension to provide better and dynamic timetable management service and to reduce the workload of the routine management team. It will assist in the automatic management of all periods. The user or the routine management team simply needs to create a schedule for a batch, and the system will automatically configure all connected timetables (Teachers, Class Rooms, and Labs). SCRMS also contains an embedded database which stores the records of every batch, classroom, lab and teacher with their respective tables. In this system, class distribution will be more reliable and accurate. This web application is secured and really easy to use. In this application, the teacher's routine will be generated automatically and the student’s class routine will be provided by an admin. In this paper, the SCRMS is designed and developed as a web application by PHP language with MySQL database. The programming languages and tools used to develop this system are PHP, Laravel, Bootstrap, MySQL, JavaScript, HTML, CSS, Ajax, and JQuery which are very efficient in making such dynamic web-based system. Since, the developed system is flexible, scalable, and modular, does not just meet the needs of a specific department/ institute but can be adapted and used by any other departments/ organizations.
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Design and Implementation of a General Web-based Course Teaching Management System
Статья научная
A general and comprehensive course teaching management system is developed, so that different teachers in different colleges may use this system to manage their courses and teaching work. The system’s front-stage provides users with login, query and search capabilities, and students can query related learning resources, assignment submission, scores, and attendance. The backstage offers effective management from colleges to curriculum subjects and provides teachers with management of teaching resources, student attendance, assignments, and notice board. Teachers and students can use the message board for communication and question answering. The PHP is used as the core programming language to manipulate the MySQL database, and Html, CSS and JavaScript are used for designing the web pages.
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Design and Implementation of an Android SMS Virtual Keyboard for the Berber Language
Статья научная
Advances in mobile device have enabled a various types of mobile applications to be developed for users beyond mobile communication services. In recent years, there has been an increasing interest in text entry with less popular and minority languages on mobile devices since the arrival of on-screen input method, which known as virtual keyboard. This work presents the first attempt to design and implement an Android SMS virtual keyboard called Tifinagh SMSK, which supports the Berber text entry for Android devices, enables the Berber native speakers to create, send and read its Tifinagh SMS messages. This tiny application has been implemented and tested on Android based smartphones and the outcome shows that it works correctly as intended.
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Design of Active Vibration Control System for Piezoelectric Intelligent Structures
Статья научная
Intelligent structure has gradually become a research focus in the field of active vibration control. Intelligent structure based on active vibration control has broad application prospects in the modern high-tech fields. This paper has designed the hardware circuit and control algorithm of active vibration control based on SCM. The design has an effective application in the “research on vibration charging system based on piezoelectric ceramic”.
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Design of Fuzzy Temperature Control System Based on LabVIEW
Статья научная
In this paper, an effective method of design fuzzy logic controller is introduced based on LabVIEW. The steps of setting membership function, fuzzy rules and fuzzy interference are introduced in details of design fuzzy controller. It is implemented in the oven temperature control system, which has practical value for engineering.
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Design of Geographic Information System in Da Qing Oil Field Gas Pipe Network
Статья научная
Combined with the actual requirements of gas pipe network management, based on the analysis of significance and effect on establishing geographic information system in Daqing nature-gas company, overall design of geographic information system in Daqing oil field gas pipe network, network structure and the analysis of spatial data and the attribute data are accomplished, what’s more, graphic and attribute data is unified to store, process and analyse, using geographic information system as technical support, at the same time, the spatial database is established, which is for the maintenance and planning of gas pipe network, piping design, pipeline construction, the completion of information, the repairing decision, as well as, inquiring the relative attribute data. This paper introduces the data and network structure, in addition to, security of geographic information system in Daqing oil field gas pipe network specifically, the system chooses MS Windows 2000 (Advanced) Server or UNIX as operating system, furthermore, using other geographic information system softwares to build geographic information development platform, giving priority to the ArcGIS of ESRI company. The result shows that the development of project has reached the expected goal, laying the solid foundation for system subsequent development and further researching work.
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Design of High-Performance Real-Time Bus in Parallel Processing System
Статья научная
Rapid increases in the complexity of algorithms for real-time signal processing applications have made multi-processors parallel processing technology needed. This paper proposes a design of high-performance real-time bus (RTB), based on which distributed shared memory (DSM) mechanism is established to implement data exchange among multiple processors. Adopting DSM mechanism can reduce the software overhead and improve data processing performance significantly. Definition and implementation details of RTB and data transmission model are discussed. Experimental results show the stable data transmission bandwidth is achieved with performance not affected by the increasing number of processors.
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Design of Remote Virtual Experiment Based on MATLAB and .NET
Статья научная
This paper presents a framework for remote virtual experiment implementation. The work principle of the solution is described and the three-tier structure of the system is proposed. The proposed solution is based on two commercially available software packages. MATLAB/SIMULINK is used for experiment module development, while .NET is used for the user front-end interface. The virtual experiment is divided into two kinds, static one and dynamitic one. The static remote virtual experiment is designed by MCR interface and the dynamitic one is done by MATLAB engine technique. In addition, two samples of remote virtual experiment are deployed to user.
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Design of a Teaching Process Monitoring and Management System
Статья научная
To solve the emerging problems in network courses, we propose the design of a teaching process monitoring and management system, based on the education technology related theories, such as cooperative learning, environment learning, etc. Through the interaction between the monitoring, management, evaluation, and feedback, the system is able to increase the utilization rate of the network course, improve the learning interest and efficiency. Finally, the teaching management and quality are maximally improved.
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Desktop Virtualization: Benefits, Challenges, and Future Trends
Статья научная
A thorough overview of desktop virtualization, a growingly popular technology that allows centralized and effective IT management, is provided in this review paper. Exploring desktop virtualization's benefits, drawbacks, various forms, impact on contemporary workplaces, and potential future trends are the main objectives. The advantages of desktop virtualization are emphasized in the report, including increased productivity, cost savings, and improved security. It explores the numerous forms of virtualization, such as client-based, server-based, and application virtualization, highlighting their special qualities and applicability for varied organizational purposes. The article also addresses how virtual desktop infrastructure (VDI) supports bring-your-own-device (BYOD) rules, allowing workers to access their work environments from any place and device. In today's dynamic workplace, this feature improves collaboration and overall efficiency. The study concludes by examining the potential of desktop virtualization and offering information on new trends and advancements that have the potential to influence the field. This review paper provides a thorough overview, making it a useful tool for businesses wishing to use desktop virtualization in their IT infrastructure.
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Detection of Infeasible Paths in Software Testing using UML Application to Gold Vending Machine
Статья научная
Software testing is an integral part of the software development cycle. Software testing involves designing a set of test cases. In white box testing, test cases are usually designed based using path testing. The basis path testing approach involves generation of test cases from a set of independent paths. Each test case is forced to execute a certain test path of the control flow graph. Some cases might arise paths of the control flow graph have no test data to force execution. These paths are infeasible paths. Identification and removal of infeasible paths earlier will reduce testing efforts and cost. In the present work, we used Unified Modeling Language (UML) for detecting of these infeasible paths. For detection of these infeasible paths, the author builds the control flow graph from sequence diagram and then generated independent paths from it. Each path is converted into a set of a linear equation and solved. If there is an inconsistent solution, then the corresponding path is infeasible. The presented approach is evaluated on a case study of an automatic gold vending machine.
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Статья научная
In the age of computing, there is a vast assortment of medical equipment and software available. Software and medical equipment that can be online connected to healthcare Information Technology (IT) systems are referred to as Internet of Medical Things (IoMT). This research study elaborates healthcare connectivity and its security issues to the different dimension of IoMT. During the pandemic situation in 2020-21 Covid, importance of virtualization and its dependencies have got the momentum. The security challenge of IoMT needs to be addressed. The research analysis is evaluating the impact of security factors in IoMT. By systematically evaluating research studies based on the keywords IoMT, security of IoMT, and security in healthcare sector, security attributes and factors were discovered from the different digital library. This evaluation uses soft computing and Artificial Intelligence (AI) techniques, quantitatively elaborates the factors of IoMT and their impact based on security. The results provide guidance for the development of IoMT with security attributes that can help to ensure the security of the device and software based applications on networks or in the cloud. To assess the importance of the criteria and the ranking of the alternatives, the AI technique of Analytic Hierarchy Process (AHP) and Technique for Order of Preferences by Similarity to Ideal Solution (TOPSIS) were applied. The hybrid Fuzzy AHP, Fuzzy TOPSIS techniques are utilizing the concept of decision making in security of IoMT. The items were evaluated using a multi rules choice investigation with several standards. In this research study, eight factors and ten alternatives of IoMT were selected to determine their impact on security. The creating new funding, operating and business model factor of IoMT got the top weight and successfully navigating regulatory change got the least. The AI research on IoMT security determination helps the developer, medical practitioner, and medical device operator to consider the impact of security in IoMT.
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Determining Factors Resulting to Employee Attrition Using Data Mining Techniques
Статья научная
Business Process Outsourcing is a budding industry which currently employs millions of workers in the Philippines which draws applicants from undergraduate to professionals. It provides high-quality, well-paying jobs to millions of Filipinos while inspiring economic activity and investments all around. However, attrition rate of around 50 percent in the current year is a big challenge to predict employee turnover. This study came up with a model that can be adopted in the organization to predict possible attrition and guide the employers particularly the HR team in determining first-hand the type of applicant that they have by applying Data Mining techniques. The authors extracted significant predictors among the given data from a BPO company. Fast Correlation-Based Filtering Algorithm was performed to remove irrelevant data and increase learning accuracy. 1470 records with 21 attributes were initially provided and 17 were identified as significant after filtering and preprocessing of data was performed. The preprocessed data was used for model building with the application of Naïve Bayes Algorithm. The resulting model predicted percentage probability of hoppers and stayers. Among the 17 given variables, Total Working Years, Marital Status and Age ranked as the top predictors in determining possibility of attrition. The data was split into 60% training data or a total of 882 records and 40% testing data or a total of 588 records. The predicted number of stayers is 542 or 92.2% and the predicted hoppers or who likely to resign are 46 or 7.8% The model was tested and evaluated to check accuracy of result through confusion matrix cross validation technique which yielded an accuracy percentage of 84.69%.
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Determining the interests of Social Network Users
Статья научная
The article is devoted to a brief review of approaches to the analysis of social relations in social networks using comments and credentials located in the profiles of social network users. The study aims to determine the interest and behavior of each user. The approach that we propose to determine the interests of social network users requires some methods of machine learning (classification analysis and data clustering). A method based on sentiment analysis and a naive Bayesian classifier is proposed. Determining the interests of social network users based on the intellectual analysis of comments can help to understand the logic of their behavior, and determine social relations between users and problems in society.
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