126 10 3575 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Moontaha Nishat Chowdhury H M Zabir Haque Kazi Taqi Tahmid Fatema-Tuz-Zohora Salma Nafisa Ahmed Date A point or period of time associated with an event in the lifecycle of the resource 2022-08-31 Description An account of the resource Human Activity-based studies have become an omnipresent research topic in Machine Learning. Considering the countless impacts of human activity on persons' everyday life, we have analyzed the correlation between human activity and their product preferences in our study and proposed that daily human activity could be a metric for product recommendation models. To address this previously unaccounted phenomenon, a new approach is presented in our study that gives real-time recommendations to users by observing their activeness in daily life. However, product recommendation systems mostly believe in ratings, and the purchase behavior of users instead of investigating the precious insights of users' daily activities. But we examined smartphones' GPS sensor data using machine learning algorithms to urge insights from users' daily activeness and proposed a model for predicting the product of interest of the purchasers, based on the activeness of their daily life. Moreover, based on our model, we have introduced a prototype of a real-time recommendation system, especially for the retail shops that rely on users' implicit data from smartphone sensors to form product recommendations. For conducting our study, we developed an android application that—collects embedded smartphone sensor data and can detect objects to provide product recommendations and product details. Experiment shows, that our proffered daily activeness-based recommendation system using smartphone sensor data, performs with a precision of 66%, but it is also a promising performance because it does not use customers' explicit feedback. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/31617 10.3991/ijim.v16i16.31617 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/31617/11885 Rights Information about rights held in and over the resource Copyright (c) 2022 Moontaha Nishat Chowdhury, H M Zabir Haque, Kazi Taqi Tahmid, Fatema-Tuz-Zohora Salma, Nafisa Ahmed https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 16 (2022); pp. 190-204 1865-7923 Subject The topic of the resource human activity, smartphone sensors, preferences, object detection, recommendations. Title A name given to the resource A Novel Approach for Product Recommendation Using Smartphone Sensor Data Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Nasa-Ngium, Patchara Nuankaew, Wongpanya Sararat Nuankaew, Pratya Date A point or period of time associated with an event in the lifecycle of the resource 2023-03-07 Description An account of the resource This research presents a chatbot application to provide educational information for university students. There are three objectives: 1) to study the problem of providing information to university students with chatbots, 2) to develop a model and construct a chatbot to predict the interest of university students, and 3) to assess the satisfaction of the information provided by the chatbot application. The research datasets were the conversations from the Messenger Facebook Page of the Faculty of Information Technology, Rajabhat Maha Sarakham University, during the academic year 2020-2021. In total, there were 1,094 transactions used in this research work. Furthermore, data mining and machine learning techniques, including CRISP-DM, Naïve Bayes, K-Nearest Neighbors, and Neural Network, were used as the research tools. The cross-validation and confusion matrix techniques were used to test the model performance. Moreover, a questionnaire was the application satisfaction assessment tool for 30 respondents. As a result, it showed that the developed model provided high-level results, which are 88.73% accuracy and an average of 3.97 for application satisfaction. In the future, the researchers plan to apply the results for the next academic year and expand into other academic programs. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/31593 10.3991/ijim.v17i05.31593 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/31593/12805 Rights Information about rights held in and over the resource Copyright (c) 2023 Patchara Nasa-Ngium, Wongpanya Sararat Nuankaew, Pratya Nuankaew https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 05 (2023); pp. 4-21 1865-7923 Subject The topic of the resource Applied Informatics Text Analytics Educational Data Mining Eruptive Technology Technology-Enhanced Learning Title A name given to the resource Analyzing and Tracking Student Educational Program Interests on Social Media with Chatbots Platform and Text Analytics Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource J. Arockia Mary Alyosius, A. Date A point or period of time associated with an event in the lifecycle of the resource 2022-08-17 Description An account of the resource Nowadays, mobile devices perform almost all tasks that can be performed by a computer but empties the battery and consumes memory. It is not necessary to execute the tasks on mobile devices; instead, it is executed in the far-away cloud. To save battery energy, the tasks are offloaded and hopped through several access points to reach the cloud and executed which increased the execution time of the task. Therefore, to save execution time and energy, the tasks are offloaded to a nearby cloudlet and as the device moves, the cloudlet and mobile device are disconnected. The mobile device is connected to the next cloudlet; while the offloaded tasks are partially executed in the previous cloudlet  VM migrates to the new cloudlet. The previous cloudlet examined the remaining execution time of the task. If it is less than the connection time, the task is finished and the result is transferred to the new cloudlet; otherwise, the task is offloaded to the new cloudlet. It is seen that the mobility and execution time aware task offloading model reduces the execution time and power consumption by 21-40% and 26-34% approximately to the existing mobility-aware offloading approach. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/31589 10.3991/ijim.v16i15.31589 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/31589/11815 Rights Information about rights held in and over the resource Copyright (c) 2022 J.Arockia Mary, Aloysius https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 15 (2022); pp. 30-45 1865-7923 Subject The topic of the resource VM-migration offloading mobile cloud computing cloudlet mobility aware Title A name given to the resource A Mobility and Execution Time Aware Task Offloading in Mobile Cloud Computing Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Mu’azah Md. Aziz Yusuff Adeola Moshood Ainul Maulid Ahmad Date A point or period of time associated with an event in the lifecycle of the resource 2022-07-11 Description An account of the resource The use of Google Meet (GM) application for teaching and learning implementation online is one of the methods in the teaching manual that has been introduced by the Ministry of Higher Education (MOHE). This study aimed to identify the level of readiness of students and self-motivation by students when using the GM application as a medium for online learning Basic Computer subject in Higher Education Institution during pandemic Covid-19. A quantitative study was conducted with the participation of 43 students from Diploma level in Universiti Islam Antarabangsa Sultan Abdul Halim Mu’adzam Shah (UniSHAMS). A set of questionnaires had been provided with three main categories consists of Online Learning Medium, Online Learning Method Using Application, and Relationship Between Online Learning Application’s Features with Self-Motivation. The findings of this study show that Online Learning Medium improves self-motivation and directly encourages students to adopt technology into their learning. Furthermore, learning application directly affects their self-motivation. Online learning medium, as mediated by online learning application, can affect self-motivation. The results suggested that MOHE must encourage the use of online learning application for teaching and learning in their schools to align with the technology growth rapidly. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/31583 10.3991/ijim.v16i13.31583 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/31583/11597 Rights Information about rights held in and over the resource Copyright (c) 2022 Mu’azah Md. Aziz, Yusuff Adeola Moshood, Ainul Maulid Ahmad https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 13 (2022); pp. 107-117 1865-7923 Subject The topic of the resource Online Learning Google Meet Application Self-Motivation Title A name given to the resource The Effectiveness of Using Application as An Online Basic Computer Learning Medium in Higher Education Institution Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Riffi Boualam, Soukayna Ouaissa, Mariyam Ouaissa, Mariya Ezzouhairi, Abdellatif Date A point or period of time associated with an event in the lifecycle of the resource 2022-06-21 Description An account of the resource Vehicle Ad-hoc Networks (VANET) are considered among recent wireless communication technologies. Nowadays, vehicles are no more than simple means of transport, they are endowed with a source of intelligence through their interaction with the road environment due to embedded equipment on board vehicles and integrated into stations along roads and highways. The mechanisms of security and protection of messages exchanged in VANET, thus preserving the privacy of users and satisfying the various security requirements, are a prerequisite for the deployment of vehicle networks. Increasingly, several research have been proposed to improve protocols for maintaining security and preserving privacy. This paper presents a hierarchical revocable infrastructure based privacy preservation authentication protocol for vehicles that involves authentication of each vehicle and the corresponding Road Side Unit (RSU) by a Certification Authority (CA). The proposed protocol used Elliptic Curve Diffie Hellman (ECDH) algorithm for reliable key exchange and Edwards-curve Digital Signature Algorithm (EdDSA) to speed up the execution of the authentication process especially at the key management level, message signing and verification of this signature. On the other hand, the creation of sub-lists of revoked certificates based on vehicle type makes it possible to minimize the response time by looking for a certificate if it is revoked or not. Our solution was checked by the security verification tool, Automated Validation of Internet Security Protocols and Applications (AVISPA), which indicated that it is a very secure level. Performance analysis illustrates that the protocol greatly saves computation resources. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/31533 10.3991/ijim.v16i12.31533 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/31533/11531 Rights Information about rights held in and over the resource Copyright (c) 2022 Soukayna Riffi Boualam, Dr. Mariyam Ouaissa, Dr. Mariya Ouaissa, Prof. Dr. Abdellatif Ezzouhairi https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 12 (2022); pp. 52-71 1865-7923 Subject The topic of the resource ITS VANET Privacy Preservation Authentication ECDH EdDSA Title A name given to the resource Privacy Preservation Authentication Model for a Secure Infrastructure over Vehicular Communications Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource D, Deepa Jothi K R Date A point or period of time associated with an event in the lifecycle of the resource 2022-08-17 Description An account of the resource Fog extends the cloud to be closer to the end devices so that it acts on IoT data within a millisecond. Almost 60% of data can be analyzed that is physically near to the IoT data. This proximity has various advantages, including reduced latency, which improves the user experience. However, because the distance to a fog service may vary as a user moves from one location to another, user mobility may restrict such benefits in practice. A fog service migration is based on a mitigation approach that allows the service to always be close enough to a user. Quality of Service is decreased because of the mobility of the user’s location.   Predicting the future location in advance improves the efficiency of service provisioning. In this work, a dynamic mobility model is proposed to find the user location in advance. This experiment was carried out by LuST mobility data set collected by Luxembourg Simulation of Urban Mobility (SUMO) Traffic (LuST). This result is give better accuracy of location prediction up to 98.87% when compared with existing methods. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/31501 10.3991/ijim.v16i15.31501 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/31501/11831 Rights Information about rights held in and over the resource Copyright (c) 2022 Jothi K R, Deepa https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 15 (2022); pp. 157-171 1865-7923 Subject The topic of the resource Mobility Location Migration Fog nodes IoT Title A name given to the resource Effective Mobility Identification in Mobile Fog Environment with the Internet of Things Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource M, Sobhana Vallabhaneni, Raga Sindhuja Vasireddy, Tejaswi Polavarpu, Durgesh Date A point or period of time associated with an event in the lifecycle of the resource 2022-08-31 Description An account of the resource India is an agricultural country, and farming is the most common occupation among Indians. Rice is a vital crop in the agricultural industry. Productivity has been declining for almost a decade. There are several causes for this, including fragmented land holdings, Indian farmer illiteracy, a lack of decision-making capacity in selecting excellent seeds, manure, and irrigational infrastructure. One of the major reasons for rice crop failure is due to malnutrition. Rice, maybe in particular, lacking in nutrients such as potassium, nitrogen, and phosphorus. Nutrient deficiency detection in crops is necessary to plan further actions to enhance yield. Most studies have relied on the use of transfer learning models for agricultural uses. Ensembling of different transfer learning techniques has the ability to greatly increase the predictive model’s performance. Five transfer learning architectures InceptionV3, Xception, VGG16, Resnet50, and MobileNet are all taken into account, and their different ensemble models are used to perform deficiency detection in rice plants. The mobile application was created as a user-friendly interface to assist farmers. The accurate diagnosis of these nutritional deficiencies and recommendation of fertilizer could aid farmers in providing correct plant intervention. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/31497 10.3991/ijim.v16i16.31497 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/31497/11877 Rights Information about rights held in and over the resource Copyright (c) 2022 Sobhana M, Raga Sindhuja Vallabhaneni, Tejaswi Vasireddy, Durgesh Polavarpu https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 16 (2022); pp. 100-112 1865-7923 Subject The topic of the resource Ensemble Averaging Inception V3 MobileNet Nutrient Deficiency Transfer Learning. Title A name given to the resource Deep Ensemble Mobile Application for Recommendation of Fertilizer Based on Nutrient Deficiency in Rice Plants Using Transfer Learning Models Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Liu, Xiao Abu Samah, Norazrena Md Salleh, Shaharuddin Date A point or period of time associated with an event in the lifecycle of the resource 2022-08-17 Description An account of the resource Creative thinking skills play an important role in Business English writing, but university students are not creative enough due to the overemphasis of knowledge input in traditional Business English writing classroom in mainland China. To solve this problem, this study involves in the mobile learning environment as the medium. By encouraging students to practice various self-regulated learning strategies while studying the learning content designed under the guidance of Production-Oriented Approach via the mobile app Superstar, this study aims to develop a theoretical framework and consequently promote students’ creative thinking skills in Business English writing. Students reported increased self-regulated learning ability after the experiment. It is found that there is a significant positive relationship between online self-regulated learning and creative thinking and students’ creative thinking skills are significantly improved in post-test. Among all the nine self-regulated writing strategies, goal-oriented monitoring and evaluation, idea planning, and emotional control are the most important predictors of students’ creative thinking levels.   Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/31477 10.3991/ijim.v16i15.31477 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/31477/11817 Rights Information about rights held in and over the resource Copyright (c) 2022 Xiao Liu, Norazrena Abu Samah, Shaharuddin Md Salleh https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 15 (2022); pp. 46-61 1865-7923 Subject The topic of the resource Creative thinking Business English Writing Self-regulated learning Title A name given to the resource The Impact of Using a Mobile App on Improving Students’ Creative Thinking in Business English Writing with Self-regulated Learning Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Imtiaz, Humera Mohd Suki, Norazah Date A point or period of time associated with an event in the lifecycle of the resource 2022-07-26 Description An account of the resource Mobile travel apps have revolutionised the way people book flights, hotels, and excursions, as well as how travel firms contact clients. This study examines tourists’ perception of mobile travel apps engagement in Pakistan. A field intercept survey was distributed to 500 respondents approached at tourism sites with a high flow of tourists in Northern Pakistan. Data were analyzed using exploratory factor analysis (EFA) via the Statistical Package for Social Sciences (SPSS) version 23 and confirmatory factor analysis (CFA) the Partial Least Square-Structural Equation Modeling (PLS-SEM) approach using Smart-PLS 3.0 software. The EFA analysis by using the principal component method of extraction and the varimax method of rotation yielded five factors. Respondents heavily emphasize item TS2 “I am very satisfied with the mobile travel apps” of tourist satisfaction factor. Likewise, this item emerged as the most dominant in the CFA analysis, followed by item TS3 "I am happy with the mobile travel apps", and item TS4 "I am satisfied with the way mobile travel app organizes the trip". The findings are vital to advancing extant mobile travel apps engagement research, while also guiding their developers to better design mobile travel apps to boost tourists’ trust and satisfaction. Direction for further research is furnished. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/31445 10.3991/ijim.v16i14.31445 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/31445/11771 Rights Information about rights held in and over the resource Copyright (c) 2022 Humera Imtiaz, Norazah Mohd Suki https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 14 (2022); pp. 171-181 1865-7923 Subject The topic of the resource mobile travel apps tourist satisfaction service quality system quality information quality trust green behaviour Title A name given to the resource Mobile Travel Apps Engagement: Measuring Tourists’ Perception Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Hassan, Hawraa abd Al_kadum Zahraa Yaseen Hasan Rusul H. Al Taie Date A point or period of time associated with an event in the lifecycle of the resource 2022-06-21 Description An account of the resource VANET ("vehicular ad hoc network") is a type of networks that consist of many vehicles acting as moving nodes. They are connected with other vehicles through an ad hoc wireless network so as to increase traffic security and provide relaxation to road users. Sending the messages to the final destination in VANETs is a challenging mission because of its relatively high mobility and dynamism. The clustering technique addresses such issues, as it gathers vehicles based upon several predefined metrics such us density, speed, and physical vehicles locations. Clustering in VANET is one of the controller techniques for dynamic form. In this paper, a new method is presented for clustering that suits the VANET environment with the purpose of improving the network cluster  stability. This method takes a number of parameters into consideration, such as the coverage area and speed to make the cluster structure comparatively stable. In addition, and advance is obtained in tems of the cluster-head selections algorithm, and the data exchange is improved through clusters. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/31423 10.3991/ijim.v16i12.31423 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/31423/11543 Rights Information about rights held in and over the resource Copyright (c) 2022 Hawraa abd Al_kadum Hassan https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 12 (2022); pp. 137-144 1865-7923 Subject The topic of the resource VANET, Vehicular Ad Hoc Network, Clustering, Cluster Head, Cluster Member. Title A name given to the resource A Simulation Approach to Improve the VANETs Communication Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Non-refereed Article