Fundamental Understanding of Mobile Phone Data for Transport Applications
Embracing Sustainable Usage of Mobile Health in Developing Countries: The Mediating Role of Behavioral Intention - An Empirical Evidence from Uganda
Impact on QoS with Active Queue Management Techniques in AODV Routing Protocol in MANETs
Gigtroop: A Home Service Provider Application
The User's Adoption towards Chatbot Technology - An Exploration
Development of Mobile App for the Soil Classification
Using the Arduino Platform for Controlling AC Appliances with GSM Module and Relay
Emerging Technologies in Interaction with Mobile Computing Devices – A Technology Forecast
Applications of Wearable Technology in Elite Sports
Evaluation of Mobile Banking Services Usage in Minna, Niger State
Smartphone Applications–A Comparative Study BetweenOlder And Younger Users
Technological Diffusion of Near Field Communication (NFC)
Touchscreen and Perceived Usability: A Comparison of Attitudes between Older and Younger Mobile Device Users
A Review on Routing Protocols for Mobile Adhoc Networks
Applications of Wearable Technology in Elite Sports
Mobile phone data has become a valuable resource in mobility studies, providing a rich dataset for analyzing human movement. This study presents a comprehensive review of mobile phone data sources and their applications in transportation studies. It explores the strengths and limitations of data types such as call detail records (CDR), cellular signaling data (CSD), and synthetic CDR. The study discusses methodologies for estimating travel demand, generating origin-destination (OD) matrices, and conducting mode-specific OD estimation. While CDR data has proven reliable for trip purpose estimation, challenges remain in accurately predicting travel modes. The study concludes with recommendations for enhancing synthetic CDR data and expanding its use in mobility studies.
This study aimed to investigate the relationship between perceived usefulness and the sustainable usage of mobile health among smartphone users in Uganda, mediated by behavioral intentions. A cross-sectional and quantitative design was used, employing correlation, regression, and mediation analysis to achieve the study objectives. Data were collected through survey questionnaires from 366 smartphone users in Eastern Uganda. The formulated objectives and hypotheses were analyzed using the SPSS tool. The findings revealed that perceived usefulness is positively correlated with the sustainable usage of mobile health. Mediation analysis showed that behavioral intentions partially mediate the relationship between perceived usefulness and mobile health usage. This study is one of the first to explore the mediating role of behavioral intentions in this context. It is relevant to academics, the government of Uganda, health regulatory organizations, and medical alliances, as mobile health offers a viable option for citizens to access and disseminate healthcare information. It demonstrates that behavioral intention contributes to the relationship between perceived usefulness and mobile health usage, providing evidence for policymakers to consider these factors when developing strategies to strengthen mobile health usage and ensure its long-term viability. This study presents a new model suggesting that perceived usefulness predicts behavioral intentions, which, in turn, enhances continued usage of mobile health. Additionally, it confirms that behavioral intentions partially mediate the relationship between perceived usefulness and mobile health usage, an area previously unexplored in the context of Uganda for healthcare access and dissemination.
Active Queue Management (AQM) techniques are essential for addressing congestion in Mobile Ad Hoc Networks (MANETs), where the Ad hoc On-Demand Distance Vector (AODV) routing protocol is frequently used. AODV is a reactive routing protocol that establishes routes only when required, making it efficient in highly dynamic network environments. However, its performance can be adversely affected by congestion, resulting in packet loss, increased delays, and reduced throughput, especially in networks with limited resources and high traffic. This paper examines the integration of AQM techniques, specifically Random Early Detection (RED) and Drop Tail, within AODV for better congestion control in MANETs. RED is an AQM technique that anticipates congestion by monitoring the average queue length and selectively drops packets before the buffer overflows. This early packet dropping helps manage congestion and prevents network collapse, leading to more stable and efficient communication. Drop Tail, a simpler technique, drops packets only when the buffer is full, which may lead to bursty packet loss and affect real-time application performance. By incorporating AQM techniques like RED and Drop Tail, AODV can more effectively handle congestion and improve overall Quality of Service (QoS) in MANETs. These techniques contribute to reducing delays, minimizing packet loss, and ensuring more consistent throughput. This study highlights the importance of AQM in enhancing network performance, enabling more efficient communication in mobile ad hoc environments, and ensuring that AODV-based routing can perform well under varying network conditions.
Urban life presents a challenge in managing work, family, and unexpected home repairs, which can disrupt even the most balanced schedule. In the modern, fast-moving lifestyle, the desire for a hassle-free home is paramount. People crave reliable doorstep service without the burden of negotiation. E-commerce emerges as a solution. A meticulously crafted system addresses these needs by delivering high-quality home maintenance services tailored to individual requirements. Seamless convenience is brought right to the doorstep. The comprehensive services offered encompass repairs, cleaning, appliance installations, renovations, and more. A team of skilled professionals is dedicated to providing top-notch service at competitive prices. Effortless access is guaranteed. The user-friendly platform boasts a streamlined booking process, making it easy for anyone to schedule service. Comfort and satisfaction are redefined for families. This one-stop solution for all home service needs alleviates the burden of maintenance, providing peace of mind and a newfound level of convenience. The aim is to enhance the quality of life for all users.
This study investigates the integration of chatbot technology in customer service, emphasizing its impact on user experience and satisfaction. Leveraging both quantitative and qualitative research techniques, a survey was conducted with 120 respondents from Nagercoil City to evaluate the benefits, challenges, and overall effectiveness of chatbot systems. The analysis identified four key components, including the benefits of chatbot integration, enhancements in customer support services, user-friendliness, and customer satisfaction. Findings indicate that the primary purpose of chatbot usage is to resolve complaints, reflected in a Garrett mean score of 75.66. However, challenges such as inaccurate solutions, limited response ranges, and impersonal interactions vary significantly across different age groups. Younger users prioritize emotional understanding and personalization, while older users emphasize security and accuracy. The study reveals that satisfaction levels with chatbots differ significantly based on age and gender but not educational qualifications. These insights underscore the necessity for businesses to customize chatbot design and functionality to meet the diverse expectations of various demographic groups, thereby enhancing customer satisfaction. The study provides actionable recommendations for improving chatbot systems by addressing both technical limitations and user experience challenges, ultimately highlighting the transformative potential of chatbots in enhancing customer engagement and service quality.