Application Of Mobile Technology Research Articles

RANCANG BANGUN MESIN PEMURNIAN VIRGIN COCONUT OIL (VCO) DENGAN METODE SENTRIFUGAL BERBASIS INTERNET OF THGINGS (IoT)

Virgin Coconut Oil (VCO) is a virgin coconut oil produced from the extraction process of fresh coconut meat without the use of chemicals or high temperatures. VCO has high economic value with various health benefits. The process of making VCO involves a centrifugal machine to separate the oil from coconut milk. However, the control of the VCO Purification machine still relies on manual intervention by the operator, which can lead to human error and affect production efficiency. In order to improve efficiency and reduce the risk of human error, Internet of Things (IoT) and Mobile Application technologies can be applied in the control of VCO Purification machines. The programming language used is PHP because it can be accessed on various platforms, especially Mobile. The sensor used is an IR (Infrared) speed sensor for measuring rotational speed. The Mobile Application can be a convenient interface for operators to control and record the operation history of the VCO purification machine. This research has succeeded in developing an IoT and Mobile Application-based control system that is effective in controlling VCO purification machines, increasing production efficiency, and reducing the risk of human error.

Measuring Teachers’ Motivation Toward Professional Development through Integration of Mobile Technology

The integration of technology in teacher training is an integral part of motivation in the 21st century. The integration of mobile technology in teacher training and professional development can bring about a meaningful change in their career. This study examines how, in the academic environment of Sindh, Pakistan, in-service training sessions contribute to the professional skill development and motivation of instructors. The study has two primary aims. The first involved examining how teacher training programs affected instructors’ willingness to continue in the classroom and to enroll in training programs. The second involved examining how these sessions affected teachers’ ability to advance their careers and develop their confidence and self-efficacy. Data for the study were gathered using a survey research approach. To gather information from 450 teachers in Sindh, Pakistan—both private and public—a structured questionnaire was created. The information gathered from the survey was examined using statistical analysis. The study’s findings demonstrate that in-service teachers are not as motivated or proficient in their professional development as they should be by training sessions through the integration of mobile technology. The main motivators for the instructors to attend these workshops are their financial and social advantages. According to the study, several essential elements of successful teacher preparation are absent from these in-service training sessions. As a result, the study suggests that training programs abandon their conventional methods and modernize to better meet the demands of teachers today through the use of technology, which most teachers avoid using. More than merely formal meetings, training sessions should be scheduled to prepare instructors for actual learning objectives. Future academics of teacher training programs may find value in the study’s conclusions with the application of mobile technology by providing appropriate pre-training sessions for the use of technology.

Application of Mobile Technology in Enterprise Management: From Mobile Office to Intelligent Decision Support

With the rapid advancement of information technology, the application of mobile technology in enterprise management has become increasingly widespread. From mobile office solutions to intelligent decision support systems, the proliferation of mobile technology has not only enhanced operational efficiency but also provided more flexible and convenient management methods. Existing research indicates that the adoption of mobile office solutions enables enterprises to overcome limitations of time and space, improving work efficiency and employee satisfaction. Additionally, the implementation of intelligent decision support systems allows enterprises to make faster and more accurate business decisions. However, current studies often focus on individual mobile technologies or application scenarios, lacking a systematic exploration of mobile office data sharing and intelligent decision-making collaboration. Moreover, most research overlooks privacy protection issues in the enterprise management decision-making process. To address these gaps, this paper proposes a scheme for mobile office data sharing and intelligent decision-making collaboration and examines the integration of privacy protection in the decision-making process. The findings not only enrich the theoretical framework of management studies but also provide enterprises with a systematic and practical solution for mobile technology applications, enhancing management efficiency and intelligence while effectively safeguarding data privacy and security.

Intelligent Tourism: Innovative Applications of Mobile Technology in Personalized Travel Planning

Intelligent Tourism: Innovative Applications of Mobile Technology in Personalized Travel Planning

Mobile Learning and Resource Sharing Mode of College English Translation Based on 5G Mobile Communication Technology

The application of 5G and other mobile communication technologies to education and teaching, and the construction of College English Translation mobile learning and resource sharing model and related models have important scientific value and significance for the effective organization and management of learning resources and the improvement of the speed and efficiency of college english translation resource retrieval. This research mainly combines the characteristics of complementarity and expansion of mobile learning technology for traditional online learning technology. Based on Moodle online teaching platform, this research develops a mobile learning and resource sharing mode for college english translation based on 5G mobile communication technology, designs and implements a mobile learning model based on Moodle platform, and designs the system architecture, functional modules, learning mode and learning process, Finally, the main functional modules of the system model are implemented and tested. To promote mobile learning in the teaching field to play a helping role in a wide range. The experimental results show that the AKAZE algorithm is used to optimize the model, and the overall accuracy rate reaches 74.7%, and the test probability value P (siq)=0.00, which is significantly less than the significant level of 0.05. Therefore, we believe that the application of mobile learning instructional design mode will help students improve their academic performance.

Application of Mobile Technology for Stock Management in Academic Libraries

Application of Mobile Technology for Stock Management in Academic Libraries

Understanding food delivery service customers’ switching behavior

Purpose Prompted by intense competition among providers of food delivery services, this study examines the behavior of customers using mobile applications. Specifically, based on a push-pull-mooring framework, this study aims to identify the key factors affecting customers’ switching intentions in the food delivery context. A push factor is assumed to drive customers away from an existing service provider due to dissatisfaction, while a pull element lures them to an alternative provider by supplying enhanced levels of enjoyment, usefulness and/or informativeness and mooring factors (i.e. affective commitment and perceived herd) help make these switching decisions. Design/methodology/approach Partial least squares structural equation modeling with SmartPLS was used because it is suited to predictive models and produces stringent assessments of measurement models using a variance-based approach. Data was collected through an online survey. Participants were 350 food delivery application (FDA) customers in the USA. Findings The results highlight the importance of a push factor (dissatisfaction with the present FDA) and a mooring factor (perceived herd) as determinants of customers’ perceptions of risk that can induce a decision to switch to another FDA. However, the pull factors of usefulness, enjoyment and information quality did not significantly influence switching behavior. Originality/value Many food delivery service providers now use mobile application technologies to provide their services. Such companies can use the factors that influence customer switching intentions identified in this study to control customers’ churn behavior by managing dissatisfied customers in the mobile context.

Intelligent Conversations: A Theoretical Framework for Understanding Natural Language Processing within Artificial Intelligence Systems

The present study paper presents a theoretical framework for understanding the language capabilities of artificial intelligence (AI) systems, with a particular emphasis on natural language processing (NLP). The proposed framework, known as the Framework of Key Performative Attributes in AI Discourse (FKPA-AID), is based on a survey of pertinent linguistic theories and AI literature. It specifies six essential dimensions for modeling intelligent conversations: linguistic precision, contextual adaptation, fluid dialogue management, self-learning capacities, socio-emotional sensitivity, and continuity. The study also uses FKPA-AID to assess the strengths and weaknesses of present AI chat capabilities, and uses this analysis to propose prospective research directions for improving machine-based language mastery to better mimic human discourses. The study conducts a literature review of current breakthroughs in AI, notably in the field of natural language processing. It investigates AI's disruptive influence across industries and its role in driving digital transformation, with a particular emphasis on mobile technology applications. The paper also dives into the development of Generative AI (GAI) and Natural Language Processing (NLP), explaining its intricacies, models, applications, and recent advances. Furthermore, it emphasizes the use of AI and NLP in voice-controlled homes and healthcare, with a focus on designing intuitive interfaces and analyzing health data. The primary goal of this literature review is to provide a complete knowledge of the emerging landscape shaped by the combination of AI and NLP. The findings from the studied literature highlight the disruptive potential, ethical difficulties, and practical applicability across multiple disciplines. The paper emphasizes the importance of responsible development in the dynamic and ever-changing world of AI and NLP, and calls for collaborative efforts from interdisciplinary experts such as linguists, computer scientists, psychologists, sociologists, and philosophers to guide future research in this field. The proposed FKPA-AID framework is positioned as a theory-based systematic tool for assessing AI conversation capabilities, contributing to overall improvements in the field.

The Application of Mobile Technology in Educational Administration to Foster Continuous Learning and Professional Development

This study explores the application of mobile technology in educational administration to promote continuous learning and professional development. By conducting a quantitative analysis of the interaction level and activity consistency within mobile networks and proposing strategies based on mobile network knowledge sharing mechanisms, this research aims to enhance our understanding of how mobile technology operates in educational management. It also aims to offer theoretical support and practical guidance for educational management practices. Currently, the integration of mobile technology in educational management has become a prominent research topic. Existing studies, however, lack sufficient quantitative analysis regarding interaction levels and activity consistency within mobile networks. Moreover, research on mobile network knowledge-sharing mechanisms that foster continuous learning and professional development is relatively limited. Therefore, this study addresses these research gaps and offers new perspectives and methodologies for a deeper understanding of the application of mobile technology in educational management.

Enhancing Mobile Acute Lymphoblastic Cancer Detection: Transfer Learning from YOLOv9 to TensorFlow for Real-Time Applications

The detection of acute lymphoblastic cancer (ALL) is critical for timely diagnosis and treatment. In this study, we propose a novel approach to enhance ALL detection using transfer learning techniques from YOLOv9 to TensorFlow, facilitating real-time application on mobile devices. Leveraging the robustness of YOLOv9 and the versatility of TensorFlow, we fine-tune the pre-trained model to optimize performance for ALL detection. The adapted model is then integrated into a mobile application, enabling users to perform real-time ALL detection using their smartphones. Our results demonstrate the efficacy of the proposed system in accurately identifying ALL cells, with a detection rate of 98% in one scenario and 100% in another. This research represents a significant step forward in leveraging advanced computer vision technologies for mobile healthcare applications, ultimately improving patient outcomes and healthcare accessibility.

Review of Routing Protocols for Mobile Ad Hoc Networks

Research on Mobile Ad Hoc Networks is of great significance in various fields including military, emergency response, Internet of Things (IoT), vehicular networking, aviation, and scientific research. This research contributes to the advancement and application of mobile communication technologies. Both domestic and international researchers have conducted in-depth studies on routing protocol design, which encompasses various aspects such as protocol design, topology management, link quality estimation, security, and energy efficiency. These areas represent current research hotspots and challenges. With the continuous development of wireless communication technologies and increasing demands for application, research on routing in Mobile Ad Hoc Networks remains highly significant with broad prospects for development. Therefore, research on routing strategies for Mobile Ad Hoc Networks has garnered widespread attention in academic circles worldwide, leading to numerous valuable research outcomes. This paper comprehensively analyzes the requirements related to the design of routing protocols for mobile self-organizing networks and comprehensively investigates the existing routing protocols, and classifies and investigates the routing protocols for mobile self-organizing networks in order to promote the research of next-generation mobile self-organizing network routing in China, which provides a reference.

The effect of mobile image recognition-based augmented reality application on students’ acquisition of science processing skills and motivations to learn science

ABSTRACT With the development of mobile phone applications with innovative features, the application of mobile recognition technology, such as a mobile image recognition-based (AR) application, is becoming increasingly widespread. Mobile Image Recognition-Based AR connect nearby objects or other physical targets with digital information. The purpose of this study is to investigate the effects of using an image recognition-based AR application on students’ acquisition of science process skills and their motivation toward science learning. The study involved 56 students enrolled in two sections of tenth-grade female students in a private school in Jordan. Each section was randomly assigned to either the control group or the experimental group. The experimental group studied a unit from the biology textbook with image-based recognition content. In contrast, the control group studied the same unit using the conventional teaching method based on the traditional textbook content. The researchers administered a science both groups a science process skills test and a motivation toward learning science scale. Results showed that participants who used a mobile image recognition application to learn science had higher acquisition of all science skills and a higher motivation toward learning science than those who used the conventional learning method.

Exploring Nanomaterials for Hydrogen Storage: Advances, Challenges, and Perspectives.

Hydrogen energy heralded for its environmentally friendly, renewable, efficient, and cost-effective attributes, stands poised as the primary alternative to fossil fuels in the future. Despite its great potential, the low volumetric density presents a formidable challenge in hydrogen storage. Addressing this challenge necessitates exploring effective storage techniques for a sustainable hydrogen economy. Solid-state hydrogen storage in nanomaterials (physically or chemically) holds promise for achieving large-scale hydrogen storage applications. Such approaches offer benefits, including safety, compactness, lightness, reversibility, and efficient generation of pure hydrogen fuel under mild conditions. This article presents solid-state nanomaterials, specifically nanoporous carbons (activated carbon, carbon fibers), metal-organic frameworks, covalently connected frameworks, nanoporous organic polymers, and nanoscale metal hydrides. Furthermore, new developments in hydrogen fuel cell technology for stationary and mobile applications have been demonstrated. The review outlines significant advancements thus far, identifies key barriers to practical implementation, and presents a perspective for future sustainable energy research. It concludes with recommendations to enhance hydrogen storage performance for cost-effective and long-lasting utilization.

AUGMENTED REALITY AS A WAY TO PRESENT EDUCATIONAL CONTENTIN THE MOBILE APPS

This article deals with the issue of implementing the capabilities of augmented reality in learning mobile applications, which is very topical for modern education. The aim of the article is to consider the application of augmented reality in the learning content of mobile applications. This article is devoted to the main aspects of the educational mobile technologies and practical application of the research results in the educational process of the general education institutions. The article deals with the application of the educational content of the mobile application module with the application of augmented reality on the example of teaching the subjects ―Informatics‖ and ―Digital literacy‖ in the secondary general education schools of the Republic of Kazakhstan. The basic definitions associated with educational mobile applications and augmented reality technologyare given, an analysis of the subject area is carried out. The international experience of applying this technology in the educational process is considered. The stages of studying the subjects ―Informatics‖ and ―Digital Literacy‖ using mobile technologies of educational direction, such as mobile applications for the organization of the learning process and assessment of knowledge, skills and abilities of students are described. As a result of the experiment, the mobile application was practically realizedand the adapted author's program ―Application of mobile technologies at the lessons of informatics and digital literacy‖ was developed. The received results of application of mobile technologies in studying of a school course of computer science and digital literacy confirm the relevance of the carried out research.

A Study of the Emotional and Cognitive Effects of Long-Term Exposure to Nature Virtual Reality (VR) Videos on Mobile Terminals

Research Highlights: This study examined the emotional and cognitive health benefits of nature in comparison with working memory training. It considered the long-term effects, the application of mobile terminal technology, and routine-based approaches with the aim of integrating nature’s health benefits into people’s daily lives. Background and Objectives: Infectious diseases and aging may limit people’s activities indoors; the recovery effect of nature has been widely recognized, and terminal technology is developing rapidly. In this context, we want to explore the emotional and cognitive effects of viewing nature (VR) videos on mobile devices for a long time. Materials and Methods: The experiment employed a between-subjects design, with participants being randomly assigned to one of four groups: a forest VR video group, a water VR group, a working memory training group, and a control group. The participants watched the video three times a week for 20 min each for four weeks. The number of valid participants for compliance, preference, and willingness was 136, and the number of valid participants for the study of emotional and cognitive effects was 62. Brief Profile of Mood States (BPOMS) scales, running memory accuracy, shifting cost, etc., were used as indicators to reflect emotions and cognition. A repeated measures analysis of variance was performed on these indicators at four groups × two time points (pretest/post-test). Results: ① There were no significant differences in the participants’ adherence, preferences, and willingness to watch different natural videos and perform working memory training. ② Long-term home training (e.g., watching VR nature videos or working memory training) may have had a minimal effect on emotional responses to mobile terminals. However, home training may be more conducive to the stabilization of anger. ③ Watching forest VR videos had a positive effect on the updating function of the brain; watching water VR videos was beneficial for the shifting function and automatic processing speed; and working memory training had a positive effect on the updating and shifting functions. Conclusions: There were no significant differences in adherence, preference, willingness, and effects on emotion and cognition between long-term forest VR video viewing, water VR video viewing, and working memory training on mobile terminals. All three types of home training may be beneficial for the stabilization of emotion (especially anger), and all can have some positive effects on cognition.

Conjugate heat transfer analysis of the transient thermal discharge of a metallic latent heat storage system

Thermal energy storage systems utilizing metallic phase change materials exhibit great potential as a technology for mobile applications, offering high storage densities and high thermal discharge rates. First experimental investigations show the functionality and performance characteristics of this system. For a deeper understanding of the thermal discharge, this paper presents a numerical model and analysis of the transient conjugate heat transfer. For validation of the numerical model, the results of the simulations are compared to the available experimental data. The investigated storage is based on an aluminum silicon alloy and a box-shaped graphite container design. In this system, heat extraction is achieved by forced convection of ambient air. The transient thermal discharge was simulated from 650 °C to 100 °C, and the solidification of the storage material at around 577 °C was simulated using an enthalpy-porosity approach. The discharge time and total heat flow show good agreement with the experimental data, indicating the model’s successful validation. An empirical study was carried out to determine the thermal contact resistance at the interface between the storage material and the graphite container. The present study contributes new physical insights regarding the thermal discharge of a novel metallic latent heat thermal energy storage system.

Mobile Robot Detects Pests And Diseases In Palm Oil Nurseries

The palm oil industry is an important economic pillar in various countries, making a significant contribution to global vegetable oil production. Despite its vital role, oil palm growth is often faced with serious challenges such as pest and disease attacks that can threaten crop yields and plant health. Oil palm seeding, as the initial stage in the plant growth cycle, is key in ensuring optimal quality and productivity in the future. The successful application of mobile robot technology in detecting pests and diseases in oil palm nurseries will not only increase production efficiency, but also support the principles of sustainability and wise resource management.

Revolutionizing Higher Education Teaching Evaluation with Interactive Mobile and Mixed Reality: A Methodological and Applied Analysis

In higher education, it is imperative to maintain educational quality, which requires necessitates a thorough evaluation of teaching methods. The advent of mixed reality (MR) technology, combined with interactive mobile capabilities, introduces innovative possibilities for traditional educational assessment frameworks. This study is dedicated to investigating the application of MR and interactive mobile technologies in higher education teaching evaluations, with a focus on assessing their effectiveness and implementation outcomes. Research to date has explored MR’s educational applications. However, the integration of interactive mobile technologies alongside MR in developing specific methodologies and evaluative tools for teaching evaluations has not been fully realized. This underutilizes the combined potential of these technologies. This paper is anchored in two principal research endeavors. Initially, it delves into the construction of a meta-model facilitated by MR-aided and interactive mobile-enhanced teacher-student interactions, utilizing a hierarchical remote interaction pyramid model. This process involves developing extensible associative functions, determining index weights, and establishing evaluation levels, which collectively enhance the evaluation’s multidimensionality, interactivity, and scientific precision. Subsequently, the analytic hierarchy process (AHP) is employed to quantitatively assess the educational impact of MR and interactive mobile experiences on students. This approach provides support for customized and precise teaching evaluations. The findings reveal that integrating MR technology with interactive mobile capabilities significantly enhances the interactivity and systematic scientific approach of teaching evaluations. This fosters a more multidimensional and interactive framework for educational evaluation.

Detection System Based on Text Adversarial and Multi-Information Fusion for Inappropriate Comments in Mobile Application Reviews

With the rapid development of mobile application technology, the content and forms of comments disseminated on the internet are becoming increasingly complex. Various comments serve as users’ firsthand reference materials for understanding the application. However, some comments contain a significant amount of inappropriate content unrelated to the app itself, such as gambling, loans, pornography, and game account recharging, seriously impacting the user experience. Therefore, this article aims to assist users in filtering out irrelevant and inappropriate messages, enabling them to quickly obtain useful and relevant information. This study focuses on analyzing actual comments on various Chinese apps on the Apple App Store. However, these irrelevant comments exhibit a certain degree of concealment, sparsity, and complexity, which increases the difficulty of detection. Additionally, due to language differences, the existing English research methods exhibit relatively poor adaptability to Chinese textual data. To overcome these challenges, this paper proposes a research method named “blend net”, which combines text adversarial and multi-information fusion detection to enhance the overall performance of the system. The experimental results demonstrate that the method proposed in this paper achieves precision and recall rates both exceeding 98%, representing an improvement of at least 2% compared to existing methods.

Application of Mobile Technology and Information Management in Emergency Pre- Examination and Triage

The primary objective of emergency pre-examination and triage is to provide the most appropriate clinical service to patients with acute and critical illnesses while ensuring the optimal utilization of limited medical resources. With the advancement of medical information technology, mobile technology, and information management, these features have been gradually incorporated into emergency pre-examination and triage and have shown promising outcomes. In this article, the benefits of implementing mobile technology and the current status of integrated information management to provide a reference for the future development and enhancement of emergency pre-examination and triage are reviewed.