Broadcast Efficiency in Mobile Ad Hoc Networks: Dynamic Methods and Constant Approximation
Intelligent Child Monitoring Safety System
Quality Communication using Varying Parameters for Wireless Mobile Ad Hoc Networks
Network Security Attacks for Wireless Mobile Ad Hoc Networks using Hybrid Routing Protocol
Evolution and Performance Analysis of Bluetooth Low Energy 5.0
Development of Mobile App for the Soil Classification
Using the Arduino Platform for Controlling AC Appliances with GSM Module and Relay
Evaluation of Mobile Banking Services Usage in Minna, Niger State
Emerging Technologies in Interaction with Mobile Computing Devices – A Technology Forecast
Development of an Android Based Mobile Application for the Design and Detailing of Isolated Pad Foundations According to Eurocode 2
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
The usefulness of mobile devices has increased greatly in recent years allowing users to perform more tasks in a mobile context. This increase in usefulness has come at the expense of the usability of these devices in many areas of application. However, there are little or no user apps targeted towards improving users’ experience in accessing information about Premium Motor Spirit (PMS). Generally, consumers of petroleum products have been experiencing a huge challenge in accessing information about the availability of the product, most especially, during intense scarcity. Access to this information has proved to be vital due to instability in the availability of petroleum products and volatility of its prices which is being experienced throughout Nigeria. These problems have caused consumers a hard time in managing and organizing their resources (time, motor able space and money). To solve this problem, we proposed in our previous work BRAZ, named after the authors, an application which can assist petroleum users to get real-time information about the happenings at gas stations. Our previous work was limited to Minna province of Niger State, Nigeria. Thus, in this paper, an improved version is presented herewith. Extension to the previous work include an increase in coverage area to include the 36 states in Nigeria, integration of USSD option for users without internet access, integration of Google map to guide visitors, who are not familiar with the environment, to the closest gas station. An advance BRAZ app is also proposed to provide real-time information, which is independent of petrol station admin, to users.
Over the years, makeup professionals have positioned their art as a force to reckon with in the fashion industry. The need to look good, beautiful, attractive, and stunning to event or any social activity is highly demanding. In the world today if a client/customer wants to schedule an appointment with a makeup artist, they need to call in or personally go to the studio to schedule an appointment. This consumes precious time of the client also clients are unaware of the schedule of the makeup artist before going to the studio. The android platform, a mobile application can be developed for scheduling makeup time and bridging the gap between the makeup artist and client. It provides a fast and adequate makeup service. The application is designed based on the First- Come, First-Served (FCFS) Scheduling algorithm. This application allows the client to book an appointment, pay a commitment fee of 40% through an electronic payment system. The application reduces the case of double booking and increases organization of appointment scheduling by the make up artist.
Food is any edible substance that is expected to give nutritional value to the living body. It is required for vitality, development and counteractive action of disease and repair of body cells. Daily, individuals are confronted with lack of knowledge on what to cook, how to cook or what ingredients are available or unavailable for cooking. This could be as a result of various reasons and can result to other problems like overthinking, food repetition, ignorance of availability of ingredient and food wastage, thus, this system was developed to help eliminate or reduce these problems. The system generates possible Nigerian meals that can be prepared with available ingredients in stock. It was developed for Android devices and implemented using Android Studio, with Java as the programming language, XML for the interface and SQLite for the database. The system was deployed on forty user’s mobile devices for testing and got positive feedbacks. The system proved to be useful and satisfied its potential users.
There is a paucity of research that examine the psychological state of mobile phone users while creating passwords, and how it affects the choice of strong and weak passwords. In this paper, we examine how a user’s mental state and personality affects choice of user’s password. Therefore, we use two groups: experimental and control, each of 16 subjects, who were asked to generate a password. At the beginning, all participants used the BMIS and the BFI tools to self-report their mental state of mind and personality, respectively. Then, we exert mental fatigue on participants in the experimental group while those of other group were not. At the end of the experiment, we measure and compare password strength across groups. Our findings reveal that the effect of the different mental states on password over our limited sample size is not so different, although more mentally fatigued users tend to create weaker passwords than others do. Further, we demonstrate that a relationship exists, nonetheless, as indicated by our regression model. We also investigated personality and its implication on password strength, the study reveals that participants who report as agreeable are more likely to create better passwords than conscientious participants or extraverts.
The accuracy of any classification algorithm essentially depends on the cohesiveness and structure of the training dataset and its features. The detection of malicious applications running on android devices has become a task that cannot be overemphasized. This is due to the wide acceptability and usefulness of these devices. This usefulness however has also made the android applications to become soft targets for malware hackers. In order to ameliorate this problem, different malware detection techniques have been proposed in the literature. However, the accuracy and false alarm rate still require improvements in order to have a versatile detector. This research therefore presents the use of whale optimization technique for feature selection of permission-based feature of android applications for better classification accuracy. The results show that the accuracy is improved using this algorithm compare to some known existing detector models with or without feature selector.
