Статьи журнала - International Journal of Education and Management Engineering
Все статьи: 613
Crowd-based requirement engineering
Статья научная
Requirement elicitation through crowdsourcing is trending nowadays and due to its major benefits, some of the organizations are implementing this idea. Our research paper discusses the traditional requirement engineering concepts and then compares them with crowd-based requirement engineering to show the benefits of crowdsourcing. Features of Crowd-Based Requirements Engineering are highlighted to give an idea of the basis on which the survey was conducted. Furthermore, we have discussed the online survey and gamification methods to motivate the crowd.
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Cuisine Detection Using the Convolutional Neural Network
Статья научная
In today’s fast world, everyone wants the information in one click. The same rule applies when you have some food items in front of you. In social events, few cuisines are known to us while some are not. Also, in a few cases, we know the cuisine name, but we are not aware of its nutritional value. This motivated us to develop a system that can identify the cuisine name from the image and gives the nutrient value for the same. Here Convolutional Neural Network (CNN) is used to predict the cuisine name present in an image and then further its nutritional value is calculated based on the information present in a database. User needs to click the image of the cuisine; the application will identify the cuisine name and its nutrition value for standard serving amount considering the cuisine is prepared using the standard recipe.
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Customer Attitude towards E-Banking Technology with Special Reference to Barnala District of Punjab
Статья научная
Technology innovations are having significantly importance in human life in general and in professional life in particular. The quick expansion of information technology has refined the life of millions of people. Banking is no exception these days. Considering the growing customer expectations at present time, banks and other financial institutions have incorporated online and mobile banking technology to ease customer's efforts. Innovations such as E-Banking technology have changed the critical structure of all banking system by lowering transaction cost. New E-Banking technology applications are used in mobile phones to check account balances, alerts and conduct other banking activities. The present study is based on to identify the factor affecting the Customer Attitude towards E-Banking Technology. One of the most important changes in the banking industry has been the customer movement from traditional branch banking to electronic banking such as E-Banking.
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Customized Online Test Database Systems and Automatic Generation System for Testing Papers
Статья научная
In the online test database system, a major issue is how to input the questions with formulas and pictures to the test database, while maintaining the format of test questions in order to support the printing layout. In this paper, a test database system supporting the formulas and pictures stored is designed and implemented. Based on this database system, an automatic generation system for test paper is achieved based on improved genetic algorithm. The J2EE technology is used to develop the online system. The system has friendly interface and it is easy to be operated. This system can support multidisciplinary test database and it can be customized according to different chapters and sections. The experiments show it is a useful online test database system and automatic generation system for testing papers.
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Cyber-physical Systems: Security Problems and Issues of Personnel Information Security Culture
Статья научная
Cyber-physical systems (CFS) have already become an integral part of our lives. Starting from the energy sector, production and transport, to healthcare, trade, and financial spheres, these systems have been widely applied everywhere. The realization of threats to the information security of such systems can cause very serious disasters, human casualties, financial loss, as well as damage the image of the companies that use these systems. From this point of view, it is very important to investigate the issues of ensuring information security of KFS.Security problems of cyber-physical systems are analyzed. At the same time, the role and importance of the human factor in ensuring the information security of cyber-physical systems are explained. The difficulties faced by enterprises in informing employees about information security and forming a culture of information security in them are analyzed. Appropriate training methods are explained and recommendations are given to develop employees' necessary knowledge and skills related to information security.
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Dangerous Degree Evaluation of Mine Debris Flow Based on the Immune Genetic Neural Network
Статья научная
Taking the western Qinling Mountain, in the southern Shaanxi Province of china, as an example, based upon comprehensive analysis of geological data for 20 debris flow gullies, the author has put forward a series of indices system and has developed the immune genetic neural network system, which can quantitatively evaluate the dangerous degree of mine debris flow. This software system manage initial data through Access’s data-base technology, and determine and optimize the hidden layer network by immune genetic algorithm, as well as achieve the dangerous degree evaluation of mine debris flow by virtue of artificial neural network which has been successfully trained. The calculating results of mine debris flow examples testify that this method is reliable and can accurately evaluate the dangerous degree of mine debris flow. These evaluation results have some important instructive significance for the disaster prevention and reduction of mine debris flow.
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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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