Febri Prasetya, Bayu Ramadhani Fajri, R. Wulansari, Primawati, Aprilla Fortuna
{"title":"Virtual Reality Adventures as an Effort to Improve the Quality of Welding Technology Learning During a Pandemic","authors":"Febri Prasetya, Bayu Ramadhani Fajri, R. Wulansari, Primawati, Aprilla Fortuna","doi":"10.3991/ijoe.v19i02.35447","DOIUrl":"https://doi.org/10.3991/ijoe.v19i02.35447","url":null,"abstract":"Indonesia is one of the countries affected by changes in the education system and learning activities. Learning media aims at attracting students' interest in improving their cognitive and understanding of learning. The selection of media should be based on the following criteria: effective, useful, flexible, affordably accessible, and most importantly in line with learning objectives. Therefore, Virtual Reality-based learning media is the right technology for building online learning conditions to appear more real and real-time. This study aims to develop a VR-based learning media for welding technology courses. This study employed a Research and Development (R&D) method with a 4D development model consisting of define, design, develop, and disseminate. Stages are carried out in stages with analytical and experimental formulations. The results showed that the total average indicators of the VR learning media material validation witch was 0.87 (valid) and the design validation assessment was 0.88 (valid). It can be concluded that the validation results of the learning media developed are declared valid and have been well tested, and are effective to be applied to welding technology learning.","PeriodicalId":247144,"journal":{"name":"Int. J. Online Biomed. Eng.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130918984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abhishek Arun Sheth, M. Sharath, A.Sai Reddy, K. Sindhu
{"title":"Gait Recognition Using Convolutional Neural Network","authors":"Abhishek Arun Sheth, M. Sharath, A.Sai Reddy, K. Sindhu","doi":"10.3991/ijoe.v19i01.33823","DOIUrl":"https://doi.org/10.3991/ijoe.v19i01.33823","url":null,"abstract":"Biometrics are the body measurements and calculations related to individuals. Biometrics validation is used as a form of identification of individual. Gait recognition system is one of the most advanced technology that people have been working on for a while now that takes center stage in the field of biometrics. Compared to the other types of existing systems of biometric recognition such as fingerprint detection, iris-scanning systems etc., Gait Recognition system ensures no human intervention. This paper focuses on recognition based on a person’s gait. Every person has a distinct gait pattern that is unique to every other person. To train the model CASIA-B dataset has been used. The dataset includes 124 subjects where each sample has undergone Gait Energy Image extraction. Samples with clothing and baggage have been included which changes the silhouette of the person. Therefore, the model has been trained for a wider application where people wear different type of clothing and carry-ons. A Convolutional Neural Network consisting of 8 layers has been trained which performs well on both samples of dataset and an accuracy of 95.45% was obtained on dataset not involving layers of clothing and accuracy of 91.80% was obtained for the sample with clothing and baggage.","PeriodicalId":247144,"journal":{"name":"Int. J. Online Biomed. Eng.","volume":"520 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116572011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. A. Akbar, K. Ghazali, H. Hasan, W. S. Aji, A. Yudhana
{"title":"Early Bacterial Detection in Bloodstream Infection using Deep Transfer Learning Algorithm","authors":"S. A. Akbar, K. Ghazali, H. Hasan, W. S. Aji, A. Yudhana","doi":"10.3991/ijoe.v19i01.35047","DOIUrl":"https://doi.org/10.3991/ijoe.v19i01.35047","url":null,"abstract":"An infection caused by bacteria can lead to severe complications affecting bloodstream disease. At present, blood cultures are used to identify bacteria. However, blood culture is a time-consuming and labor-intensive method of diagnosing disease. The effect of delayed early diagnosis is that it influences the mortality risk. Thus, it is urgent to develop an initial prediction model to identify patients with bloodstream infections. This paper focused on classifying the bacteria using a deep learning approach. Besides, techniques of deep learning have the ability to enhance the bacterial classification process more effectively. Using the transfer learning-based convolutional neural network technique involved to develop our model. In addition, we compared the proposed model with another model used to find the best results. Compared to other models, the proposed model achieved an evaluation score with high accuracy of 98.62%. Medical decision-making may benefit from the proposed approach.","PeriodicalId":247144,"journal":{"name":"Int. J. Online Biomed. Eng.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125331416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"\"E-LabSheet Project\" 4Cs-Based Supplementary Media for Flexible Learning: Is it Well Implemented?","authors":"Agariadne Dwinggo Samala, Ika Parma Dewi, Lativa Mursyida","doi":"10.3991/ijoe.v19i01.35523","DOIUrl":"https://doi.org/10.3991/ijoe.v19i01.35523","url":null,"abstract":"This research aims to design and develop a learning product named the \"E-LabSheet Project.\" E-LabSheet is a supplement to the computer network practicum. This module contains the 4C's of 21st-century skills to practice critical thinking, problem-solving, creativity, communication, and collaboration, organized in materials, exercises, and assignments and integrated with the video tutorials. Furthermore, this E-LabSheet is very simple to use because it can be read with a mobile device, which has become the daily life of 21st-century students known as Gen Z. In this study, the validity, practicality, and effectiveness of the product were tested. The development model used is 4D. For the validity test, the validation sheet consists of media aspects and material aspects by experts. To find out the practicality, we used a questionnaire with a g-form which students then filled out as users. Trials were conducted on two classes to determine the effectiveness of the media. The first class (class A) was treated without E-LabSheet media, and the second class (class B) was treated by giving a supplement in the form of E-LabSheet. The results of this study stated that the developed e-LabSheet media was successfully categorized as valid, practical, and effective. This module is a complementary media for flexible learning that can improve student learning outcomes for the better, especially in 4C skills. The comparison of the learning outcomes of the two classes showed that class B, which was given supplementary media, obtained better learning outcomes than class A.","PeriodicalId":247144,"journal":{"name":"Int. J. Online Biomed. Eng.","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134461642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Spyros Doukakis, Aristidis G. Vrahatis, T. Exarchos, Μaria Hadjinicolaou, Vlamos, C. Mouza
{"title":"Design, Implementation, and Evaluation of Online Bioinformatics and Neuroinformatics Labs","authors":"Spyros Doukakis, Aristidis G. Vrahatis, T. Exarchos, Μaria Hadjinicolaou, Vlamos, C. Mouza","doi":"10.3991/ijoe.v19i01.34041","DOIUrl":"https://doi.org/10.3991/ijoe.v19i01.34041","url":null,"abstract":"In recent years, online laboratories have become highly integrated into the educational process due to the development of distance learning tools as well as the pandemic. As part of a master's degree program in bioinformatics and neuroinformatics, in the academic years 2020-2021 and 2021-2022, the mandatory module \"Laboratory Education (LE)\" included 9 labs and a special session took place online. For the evaluation of the LE a survey was carried out among the participants on issues of satisfaction with each lab, the knowledge they acquired, the educational material given to them, with the facilitator per lab as well as their self-reported learning. 73 postgraduate students participated in the survey. According to the results, the overall satisfaction from each laboratory ranged from 3.94 to 4.49/5.00. Furthermore, there is a variety of values in self-reported learning ranging from 23 to 50/50. Finally, although 7 out of 10 students say they are satisfied with the distance structure of LE, 8 out of 10 say they prefer LE to be carried out with a physical presence in the labs.","PeriodicalId":247144,"journal":{"name":"Int. J. Online Biomed. Eng.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131926132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Ethereum Private Network for Data Management in Blockchain of Things Ecosystem","authors":"Abdallah Al-Zoubi, Tariq Saadeddin, M. Dmour","doi":"10.3991/ijoe.v19i01.35261","DOIUrl":"https://doi.org/10.3991/ijoe.v19i01.35261","url":null,"abstract":"The advent of blockchain technology in the development and design of smart internet of things (IoT) systems offers the opportunity to secure and transfer data flow, preserve its integrity, and provide transparent mechanisms for its management. Blockchain has actually attracted applications in vital fields because it provides many advantages over centralized database such as traceability, confidentiality, availability and trust. A private network offers the most secure and peer-restricted environment for big data flow, specifically in IoT ecosystems. An integrated blockchain-IoT ecosystem in which three Raspberry Pi 4 nodes communicate and interact in a closed loop to control smart applications via an Ethereum platform in a secure and an efficiently emulated environment is piloted. The proposed blockchain of things (BCoT) ecosystem adds a new layer to the physical, network and application layers of a typical IoT architecture. The concept of a fully decentralized private Ethereum BCoT network may find applications in several fields that call for the removal of single-point of failure and ensures data integrity and transparency.","PeriodicalId":247144,"journal":{"name":"Int. J. Online Biomed. Eng.","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127025494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maisa Al-Khazaleh, Marwah Alian, Mariam M. Biltawi, Bayan Al-Hazaimeh
{"title":"Sentiment Analysis for People's Opinions about COVID-19 Using LSTM and CNN Models","authors":"Maisa Al-Khazaleh, Marwah Alian, Mariam M. Biltawi, Bayan Al-Hazaimeh","doi":"10.3991/ijoe.v19i01.35645","DOIUrl":"https://doi.org/10.3991/ijoe.v19i01.35645","url":null,"abstract":"The emergence of social media platforms, which contributed in activating the patterns of connection between individuals, leads to the availability of a huge amount of content such as text, images, and videos. Twitter is one of the most popular platforms of social media that encourage researchers to investigate people’s feelings and opinions among through sentiment analysis studies that elicited the interest of researchers in natural language processing field. Many techniques related to machine learning and deep learning models could be used to improve the efficiency and performance of sentiment analysis, especially in complex classification problems. In this paper, different models of long short-term memory recurrent neural network are used for the sentiment classification task. The input text was represented as vectors using Arabic pre-trained word embedding (Aravec). Experiments were conducted using different dimensions of Aravec on 15779 tweets about COVID-19 collected and labeled as positive and negative. The experimental results show an accuracy value of 98%.","PeriodicalId":247144,"journal":{"name":"Int. J. Online Biomed. Eng.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113965705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring the Issue of Parental Burnout with ICT's: How Do the Parents of Children with Disabilities Feel","authors":"Agathi Stathopoulou, Vicky Crokou, A. Drigas","doi":"10.3991/ijoe.v19i01.35285","DOIUrl":"https://doi.org/10.3991/ijoe.v19i01.35285","url":null,"abstract":"The purpose of this study was to investigate the level of burnout, depression, anxiety and stress experienced by parents with a child with disabilities in Greece. In particular, the negative emotional state is investigated, as well as the factors that may contribute to the occurrence of parental burnout, anxiety, stress and depression. The ultimate goal of the empirical study is to emphasize the importance of the parental role, with the aim of improving parents’ well-being and the development of their emotional and mental resilience. The sample involved 50 parents with children with disabilities. Data were collected using the online forms of questionnaires Parental Burnout Assessment & Depression Anxiety Stress Scale. The results showed that parents are prone to parental burnout, with the pre-dominant dimension being exhaustion from the parental role. The results showed that parents are prone to increased levels of stress, anxiety and depression, with the stress scale predominating. In addition, a statistically significant difference between the two age groups, with older parents experiencing increased levels of parental burnout, as well as stress, anxiety and depression. Regarding the number of children in the family, a positive correlation was found only in terms of anxiety, as parents with more children seem to experience increased levels of anxiety compared to parents with one child. In conclusion, it seems that there are significant positive correlations among the levels of total parental burnout and its individual dimensions and the levels of stress, anxiety and depression.","PeriodicalId":247144,"journal":{"name":"Int. J. Online Biomed. Eng.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128662684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Private Backend Server Software-Based Telehealthcare Tracking and Monitoring System","authors":"F. Ali, Tariq Emad Ali, Z. Al-Dahan","doi":"10.3991/ijoe.v19i01.32433","DOIUrl":"https://doi.org/10.3991/ijoe.v19i01.32433","url":null,"abstract":"In these recent years, the world has witnessed a kind of social exclusion and the inability to communicate directly due to the Corona Virus Covid 19 (COVID-19) pandemic, and the consequent difficulty of communicating with patients with hospitals led to the need to use modern technology to solve and facilitate the problem of people communicating with each other. healthcare has made many remarkable developments through the Internet of things (IOT) and cloud computing to monitor real-time patients' data, which has enabled many patients' lives to be saved. this paper presents the design and implementation of a Private Backend Server Software based on an IoT health monitoring system concerned emergency medical services utilizing biosensors to detect multivital signs of an individual with an ESP32 microcontroller board and IoT cloud. The device displays the vital data, which is then uploaded to a cloud server for storage and analysis over an IoT network. Vital data is received from the cloud server and shown on the IoT medical client dashboard for remote monitoring. The proposed system allows users to ameliorate healthcare jeopardy and minify its costs by recording, gathering, sharing, and analyzing vast biodata streams such as Intensive Care Units (ICU) (i.e., temperature, heartbeat rate, Oxygen level (CO2), etc.), efficiently in real-time. In this proposal, the data will send from sensors fixed in the patient body to the Web and Mobile App continually in real time for collection and analysis.","PeriodicalId":247144,"journal":{"name":"Int. J. Online Biomed. Eng.","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126577528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Raúl Jáuregui-Velarde, L. Andrade-Arenas, Gustavo Bernnet Alfaro Peña, Roberto Santiago Bellido-García, M. Cabanillas-Carbonell
{"title":"Mobile App Prototype: Telemedicine for Mental Health Care During Pandemic","authors":"Raúl Jáuregui-Velarde, L. Andrade-Arenas, Gustavo Bernnet Alfaro Peña, Roberto Santiago Bellido-García, M. Cabanillas-Carbonell","doi":"10.3991/ijoe.v19i01.34691","DOIUrl":"https://doi.org/10.3991/ijoe.v19i01.34691","url":null,"abstract":"Since the end of 2019, the contagious disease COVID-19, which originated in the city of Wuhan, China; It affected every country in the world. As a measure to prevent the spread of the virus, the Peruvian government ordered quarantine and social distancing; As a consequence, people's economy and social life were affected, increasing stress, depression and anxiety, which are emotional disorders that affect mental health. Added to this is the lack of access to mental health services. The objective is to develop a prototype mobile telemedicine application for mental health services, based on Android. The methodology that was applied was the Rational Unified Process (RUP) methodology, because this methodology allows documenting, ordering and structuring software development. The result obtained was a telemedicine mobile application prototype with a design and functionalities that facilitate the access of patients and specialists to provide mental health services. The evaluation of the quality of the prototype was carried out through the judgment of experts, who evaluated the efficiency, usability and security of the application. Obtaining after the calculation, 4.66 average or mean; which indicates, according to the established quality range, that the quality of the mobile prototype is high. In conclusion, it was possible to develop an efficient, easy-to-use and safe mobile telemedicine prototype; that provides the solution by facilitating patients' access to mental health services for their emotional, psychological and social well-being.","PeriodicalId":247144,"journal":{"name":"Int. J. Online Biomed. Eng.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126543178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}