Interoperating Context Discovery Mechanisms

Context-Aware applications adapt their behaviour to the current situation of the user. This information, for instance user location and user availability, is called context information. Context is delivered by distributed context sources that need to be discovered before they can be used to retrieve context. Currently, multiple context discovery mechanisms exist, exhibiting heterogeneous capabilities (e.g. communication mechanisms, and data formats), which can be available to context-aware applications at arbitrary moments during the ap-plication’s lifespan. In this paper, we discuss a middleware mechanism that en-ables a (mobile) context-aware application to interoperate transparently with different context discovery mechanisms available at run-time. The goal of the proposed mechanism is to hide the heterogeneity and availability of context discovery mechanisms for context-aware applications, thereby facilitating their development

ChUM: Chart Update Mashup

The Chart Update Mash up (ChUM™) consists of various APIs/Technologies that when brought together allow for intuitive georeferenced visualization of the Critical Chart Updates published by the Office of Coast Survey (OCS). Each component of ChUM™ will be described in this paper with an explanation of how each piece works together to form ChUM™. Figure 1 shows the basic building blocks that make up ChUM™. At the base of the structure (in blue) is the data that OCS disseminates to the public via its website/web-services: Raster Nautical Charts, the CRIT data (critical corrections to the chart), and the Coast Pilot. There are three 3rd party API’s (Application Programming Interface)/plug-ins that are used: the Google Maps API v3, the DataTables plug-in, and the NauticalChartsAPI (NCAPI). The NCAPI is an API created by the University of California, San Diego’s Coastal Observing Research and Development Center (CORDC) and it deals directly with fetching and preparing the Raster Nautical charts for use in Google Maps. The DataTables is a plug-in for the jQuery JavaScript library and it is populated with data from the OCS CRIT data. The NauticalChartsAPI UI (User Interface), NCAPIUI, was created by combining the NCAPI, DataTables, and the Coast Pilot data into one API that contained widgets for an intuitive interface that is similar in look and function as the Google Maps widgets. Google Map API is used for its geo-referenced environment and for its familiar controls that are built-in: namely, the panning, zooming, markers/info boxes and various background-overlay options

The Exploitation of Web Navigation Data: Ethical Issues and Alternative Scenarios

Nowadays, the users' browsing activity on the Internet is not completely private due to many entities that collect and use such data, either for legitimate or illegal goals. The implications are serious, from a person who exposes unconsciously his private information to an unknown third party entity, to a company that is unable to control its information to the outside world. As a result, users have lost control over their private data in the Internet. In this paper, we present the entities involved in users' data collection and usage. Then, we highlight what are the ethical issues that arise for users, companies, scientists and governments. Finally, we present some alternative scenarios and suggestions for the entities to address such ethical issues.Comment: 11 pages, 1 figur

Reducing the Barrier to Entry of Complex Robotic Software: a MoveIt! Case Study

Developing robot agnostic software frameworks involves synthesizing the disparate fields of robotic theory and software engineering while simultaneously accounting for a large variability in hardware designs and control paradigms. As the capabilities of robotic software frameworks increase, the setup difficulty and learning curve for new users also increase. If the entry barriers for configuring and using the software on robots is too high, even the most powerful of frameworks are useless. A growing need exists in robotic software engineering to aid users in getting started with, and customizing, the software framework as necessary for particular robotic applications. In this paper a case study is presented for the best practices found for lowering the barrier of entry in the MoveIt! framework, an open-source tool for mobile manipulation in ROS, that allows users to 1) quickly get basic motion planning functionality with minimal initial setup, 2) automate its configuration and optimization, and 3) easily customize its components. A graphical interface that assists the user in configuring MoveIt! is the cornerstone of our approach, coupled with the use of an existing standardized robot model for input, automatically generated robot-specific configuration files, and a plugin-based architecture for extensibility. These best practices are summarized into a set of barrier to entry design principles applicable to other robotic software. The approaches for lowering the entry barrier are evaluated by usage statistics, a user survey, and compared against our design objectives for their effectiveness to users

A new fuzzy set merging technique using inclusion-based fuzzy clustering

This paper proposes a new method of merging parameterized fuzzy sets based on clustering in the parameters space, taking into account the degree of inclusion of each fuzzy set in the cluster prototypes. The merger method is applied to fuzzy rule base simplification by automatically replacing the fuzzy sets corresponding to a given cluster with that pertaining to cluster prototype. The feasibility and the performance of the proposed method are studied using an application in mobile robot navigation. The results indicate that the proposed merging and rule base simplification approach leads to good navigation performance in the application considered and to fuzzy models that are interpretable by experts. In this paper, we concentrate mainly on fuzzy systems with Gaussian membership functions, but the general approach can also be applied to other parameterized fuzzy sets

Averting Robot Eyes

Home robots will cause privacy harms. At the same time, they can provide beneficial services—as long as consumers trust them. This Essay evaluates potential technological solutions that could help home robots keep their promises, avert their eyes, and otherwise mitigate privacy harms. Our goals are to inform regulators of robot-related privacy harms and the available technological tools for mitigating them, and to spur technologists to employ existing tools and develop new ones by articulating principles for avoiding privacy harms. We posit that home robots will raise privacy problems of three basic types: (1) data privacy problems; (2) boundary management problems; and (3) social/relational problems. Technological design can ward off, if not fully prevent, a number of these harms. We propose five principles for home robots and privacy design: data minimization, purpose specifications, use limitations, honest anthropomorphism, and dynamic feedback and participation. We review current research into privacy-sensitive robotics, evaluating what technological solutions are feasible and where the harder problems lie. We close by contemplating legal frameworks that might encourage the implementation of such design, while also recognizing the potential costs of regulation at these early stages of the technology

SCUdent Books: A University-Focused Bookselling Platform

As the beginning of each university semester or quarter commences, so does the rush to acquire books for classes. The search for school books is a busy and important task for many students. However, an entire slew of problems and frustrations emerge with this academic race to gather books. To begin, students have to deal with the traditional frustrations of expensive textbooks sold at the university bookstore which is especially troublesome for those on a tight budget. Additionally, required textbooks for classes may not be available at the bookstore or require restocking which can take an unknown amount of time. Because of this, students turn to cheaper, faster, and more efficient alternatives for acquiring school books including online retailers such as Amazon or Barnes and Noble. While the Internet makes book shopping appear easier, there exist issues that come with it. Students have to put in more effort ordering online, pay for extra shipping, and wait for their books to arrive. Also, online shopping for books is incredibly decentralized with no convenient platform to cater to students\u27 needs. Students must first spend time finding out which books are required for each class and then spend even more time comparing prices from multiple online retailers. In addition, once a student completes a class he or she may no longer need the book. As a result, the student has no convenient method of disposing the book and must now sell it, throw it away, or keep it. Overall, the process of acquiring books in university is disorganized, stressful, and inconvenient for students

Rapid prototyping and fast user trial of multimedia broadcast and cellular services

This paper presents the results of fast user trial of multimedia services that are enabled when a mobile terminal has access to converged services over digital broadcast and mobile telecommunications networks. It first describes the motivations behind developing this system and describes the service scenarios that benefit most from it. It then provides an overview of the service components of the test case scenario. Finally, it presents the results of fast user trials on end users of the services that were developed. This work was conducted as part of the EU-funded CISMUNDUS project