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In this paper, we propose a very simple method for learning relationships between events by accounting for the spatial or temporal sequence of occurrence of the events. The underlying idea behind our proposed method is that for certain data processing application, such as data collected from retail shoppers, relational access to data is more useful and immediately informative than sequential access...
App store reviews are currently the main source of information for analyzing different aspects of app development and evolution. However, app users' feedback do not only occur on the app store. In fact, a large quantity of posts about apps are made daily on social media. In this paper, we study how Twitter can provide complementary information to support mobile app development. By analysing a total...
App developers naturally want to know which of their releases are successful and which are unsuccessful. Such information can help with release planning and requirements prioritisation and elicitation. To address this problem, I performed causal analysis on 52 weeks of popular app releases from Google Play and Windows Phone Store. The results reveal properties of successful releases in multiple app...
Nowadays, software development projects produce a large number of software artifacts including source code, execution traces, end-user feedback, as well as informal documentation such as developers' discussions, change logs, StackOverflow, and code reviews. Such data embeds rich and significant knowledge about software projects, their quality and services, as well as the dynamics of software development...
The Alibaba mobile recommendation competition aims at predicting the purchase behavior of users with the real users-commodities behavior data on Alibaba's m-commerce platform. In this paper, we regarded it as binary classification problems for each user/item pair, explored several important factors that closely related to purchase behaviors, extracted useful features from the data set, and made predictions...
With the advancement in wireless sensor networks (WSN) researchers in social network analysis (SNA) now have access to larger and more complex datasets that describe human interactions in the physical space. Studies in WSN thrive on accuracy and robustness whereas SNA operates on a higher level of data abstraction. Graph mining is a bridge between these two fields. This paper investigates two approaches...
This paper proposes a topic-based method to reflect calls and proximities simultaneously into finding interaction patterns from a mobile log. For this purpose, the proposed method regards calls and proximities as a homogeneous information type that are drawn from the same temporal space expressed by the same distribution, but with different parameters. The number of proximities in a mobile log usually...
The improvement of energy efficiency in wireless cellular networks has become a popular topic in recent years due to its positive effects on the environment and economical benefits for network operators. An effective way to improve energy efficiency is to deploy energy-efficient base stations and turn as many base stations off as possible. In this paper, we consider an LTE network composed by the...
The following topics are dealt with: job satisfaction, image compression; synergy banking operation; automobile manufacturing enterprise reverse logistics; e-learning; supply chain; government innovation; knowledge management; Web-based small and medium enterprises; China mobile communication corporation; automated warehouse; Web service; text mining; and greenhouse gas emission.
With the extensive popularity of mobile devices, a huge amount of research effort has been attempted towards exploring several aspects of mobile computing. In the light of many applications such as traffic conditions, stock information, weather reports and most importantly location dependent services - that require processing of location dependent queries - this area of research has gained much importance...
Mobile agent technology is one of the fastest growing and emerging areas for application development in the past few years. A mobile agent is a computer program that acts autonomously on behalf of a user/application and travels to the network of diverse machines. For the mobile agent's technology to survive, it is necessary that the mobile agents should be reliable. In this prospective, fault tolerance...
In recent decade, DRM (digital rights management) has focused on security techniques for solving the issues as the malicious copy, free dissemination and unrestricted abuse of digital contents or assets. Whereas some increasingly enhanced security policies, which were implemented at contents provider-side or user-side, have not brought about optimal utilities for participants in the contents value...
Nowadays, financial staffs are working in a knowledge society, and they have to master some new knowledge to meet the needs of their work. In this paper, we will firstly discuss what knowledge is and what knowledge management is. Then we will analyze the model of incentive mechanism and put forward the principles of incentive mechanism. Lastly, we will design knowledge management incentive system...
Vertical handover is a new trend for heterogeneous next generation networks, in order to assure ubiquitous and seamless connectivity to mobile users. This paper presents a novel vertical handover algorithm based on a probabilistic approach for decision strategy. The proposed technique deals with the assessment of a Wrong Decision Probability (WDP), which assures a trade-off between network performance...
Reduction of operational efforts and complexity are key drivers for RAN Long Term Evolution. It is also of interest to minimise operational effort by introducing self-configuring and self-optimising mechanisms. A self-optimising function shall increase network performance and quality reacting to dynamic processes in the network. To improve the efficiency and performance of the E-UTRAN system, an efficiency...
Scientific practices increasingly incorporate sensors for data capture, information visualization for data analysis, and low-cost mobile devices for field-based inquiries incorporating open Web standards. While a broad range of design approaches for developing technology-enhanced learning has been used by researchers and practitioners for the last 15 years, significant challenges for educational use...
While analyzing mobile systems we often approximate the actual coverage surface and assume an ideal cell shape. In a multi-cellular network, because of its tessellating nature, a hexagon is more preferred than a circular geometry. Despite this reality, perhaps due to the inherent simplicity, only a model for circular based random spreading is available. However, if used, this results an unfair terminal...
The desire for a high mobility-to-size ratio in mobile robots has led to the exploration of many new methods of locomotion, one of which is tumbling. We believe that tumbling has a great potential to produce high mobility-to-size ratios in miniature mobile robots. In this paper we discuss tumbling locomotion and introduce the Adelopod, a small two-armed tumbling robot recently developed at the University...
Humane care asks for designing with care and designing with users and other stakeholders at heart. The focus of the workshop is on human values in relation to pervasive technology and the outcome will be a research agenda for the nearby future.
RF techniques have attracted much attention for the indoor tracking, because of its better penetrability than traditional techniques, such as infrared or ultrasound. Generally, existing systems mostly focuses on the localization of the mobile entity. In fact, area information is also an important requirement for some applications, such as intelligent museum explanation, etc. Also, the area information...
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