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Throughput prediction is one of good solutions to improve quality of mobile applications (e.g., YouTube or Netflix) for video streaming delivery services in mobile networks. This is because such applications require monitoring the network performances to control content quality, thus guarantee quality of service (QoS) and quality of experience (QoE). In this paper, we propose a history-based TCP throughput...
Overweight and obesity are ubiquitous around the world, and to make matters worse, many fatal diseases are related to obesity. Consequently, an increasing effort have been made to help people lose weight. Due to the cost-effective, convenient and wide-reaching features of mobile applications, smart phone weight loss applications have gained great public attention. Such weight loss applications typically...
Background: Several mobile app releases do not find their way to the end users. Our analysis of 11,514 releases across 917 open source mobile apps revealed that 44.3% of releases created in GitHub never shipped to the app store (market). Aims: We introduce "marketability" of open source mobile apps as a new release decision problem. Considering app stores as a complex system with unknown...
In the modern information society, accurate prediction of human mobility becomes increasingly essential in various areas such as city planning and resource management. With users' historical trajectories, the inherent patterns of their movements can be extracted and utilized to accurately predict the future movements. In this paper, based on a dataset of 100,000 individuals' actively uploaded location...
This paper presents the application of the Monte Carlo method for non-detected failure analysis on the mobile seat platform across the dynamic system testing on the commercial vehicle. This method has been applied in automotive embedded software of OEM components to reduce project development time, provide standardization and to predict software errors and look towards quality improvement. With growing...
With the evolution of cellular networks and the panoply of different services offered, it is crucial for mobile network operators to start planning with procedures that are simple, inexpensive and robust. In this paper we develop and present a methodology for the planning and dimensioning of UMTS network dedicated to the region of Bejaia in Algeria. The work focuses on the UTRAN since the implementation...
Communications survivability of mobile wireless segments in tactical military networks is and will be an enormous challenge in the present and future defence forces, which is vital to fulfill military missions in a timely manner. We have previously presented an autonomous system named OPAL, which uses distributed cooperative management solutions for enhancing communications survivability in volatile...
It is shown that the excessive inhalation of PM (Particulate Matter) 2.5 will seriously affect the health of human. Many countries have deployed various detectors for air pollution in order to report concentration of PM2.5 to show how much seriousness of air pollution is. But, what more important is how much PM 2.5 has been inhaled by people anytime and anywhere. Therefore, in this paper, we propose...
The Mobile Computer Science Principles curriculum collects data on embedded Quizly programming exercises, which are based on the App Inventor version of Blockly. We have recently started mining this data to determine whether student performance on the programming exercises matches our assumptions about the difficulty of the individual exercises. Various analytic techniques, such as linear regression,...
Modern software systems provide many configuration options which significantly influence their non-functional properties. To understand and predict the effect of configuration options, several sampling and learning strategies have been proposed, albeit often with significant cost to cover the highly dimensional configuration space. Recently, transfer learning has been applied to reduce the effort...
Understanding and predicting cellular traffic at large-scale and fine-granularity is beneficial and valuable to mobile users, wireless carriers and city authorities. Predicting cellular traffic in modern metropolis is particularly challenging because of the tremendous temporal and spatial dynamics introduced by diverse user Internet behaviours and frequent user mobility citywide. In this paper, we...
Anticipatory networking is a recent branch of network optimization that exploits contextual information to improve resource allocation decisions based on prediction. While some anticipatory networking concepts have been proposed in the literature, understanding of the potential real-world gains is so far very limited. Future mobile networks will likely integrate such mechanisms, and thus it is of...
A variety of applications (App) installed on mobile systems such as smartphones enrich our lives, but make it more difficult to the system management. For example, finding the specific Apps becomes more inconvenient due to more Apps installed on smartphones, and App response time could become longer because of the gap between more, larger Apps and limited memory capacity. Recent work has proposed...
The purpose of this study was to explore the important factors that influence users’ continuance usage behavior toward mobile online group-buying. Based on the characteristics of the mobile Internet, an extension of the UTAUT model is introduced to verify the proposed hypotheses. The structural equation modeling method is used to analyze the empirical data which come from universities in China. The...
In this paper, we propose a method for optimizing the game live service. Especially, we focus on improving user retention. Firstly, we define player churn in the game and extract features that contain the properties of the player churn from the game logs. And then we evaluate the importance of features using random forest in classification. Finally, we build association matrix between features and...
With the rapid development of mobile Internet, the ways in which users access the network become diverse, which provides much convenience for us to collect huge amount of users' behavior information. In this paper, we combine data acquisition based on wireless access and brand analysis innovatively. This paper analyzes proportions of mobile terminal brands on campus using the data collected from WiCloud...
In this paper, the service robot named “BlackBot” as receptionist robot is descried, that is a small three-wheeled mobile platform with a differential drive, which was controlled by a mini PC. The BalckBot could sense its surroundings with the aid of various electronic sensors while mechanical actuators were used to move it around. Robot's behavior was determined by the program, which was loaded to...
Many institutions of higher learning provide shuttle bus service to students and staff to and from between public pick up point and campus for their convenience. However, such service is not receiving positive feedback as users have to wait without any clue when the bus is going to arrive. Furthermore, the time schedule posted on the University website is often inconsistent. Hence, providing the accurate...
We design and implement an intelligent advisor system for assisting individuals in changing their physical activity behavior. This system monitors an individual's physical activity and provides personalized, dynamic, pace-based recommendations to help an individual attain his/her activity goal. It adapts to a person's real-life constraints and generates recommendations using data from the individual's...
The ability to closely track the traffic load of base stations is very important for resource management and energy saving in green communications. Thus how to predict the future traffic accurately is critical and some recent studies show that correlation of traffic load exists among neighboring base stations. Inspired by these conclusions, this paper proposes a novel base station traffic prediction...
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