SLAM map application for tracking lights on car dashboards

Recent studies conducted by some insurance companies highlighted that the most part of drivers do not know the meaning of the dashboard lights. This leads drivers to be dangerous for others and themselves. Hence, the need to provide drivers with tools that support them to always be aware of the state of their cars. This paper proposes a system for mobile devices that uses augmented reality to be able to give information on a particular dashboard lights. The system is implemented by combining the use of Simultaneous Localization and Mapping (SLAM) maps with central moment computation widely used in computer vision. Preliminary research results show that the proposed system achieves its goal enables a a real-time visual feedback

A Scalable Cluster-based Infrastructure for Edge-computing Services

In this paper we present a scalable and dynamic intermediary infrastruc- ture, SEcS (acronym of BScalable Edge computing Services’’), for developing and deploying advanced Edge computing services, by using a cluster of heterogeneous machines. Our goal is to address the challenges of the next-generation Internet services: scalability, high availability, fault-tolerance and robustness, as well as programmability and quick prototyping. The system is written in Java and is based on IBM’s Web Based Intermediaries (WBI) [71] developed at IBM Almaden Research Center

Visualizing Processes on the Web

In this paper, we describe 3WPS, a framework to build distributed systems that are able to monitor and interact with a process through a 3D interface that is accessible via the World Wide Web (WWW). The 3WPS is easily configurable, easily adaptable to different processes with high reuse of ts software components and its distributed architecture leverages on off-the-shelf components of the WWW infrastructure such as Java applets and Virtual Reality Modeling Language (VRML) browsers. We describe the characteristics of 3WPS framework by mainly focusing on the issue of programmability and by contextually providing an example tour of its usage

An Interactive Bio-inspired Approach to Clustering and Visualizing Datasets

In this work, we present an interactive visual clustering approach for the exploration and analysis of datasets using the computational power of Graphics Processor Units (GPUs). The visualization is based on a collective behavioral model that enables cognitive amplification of information visualization. In this way, the workload of understanding the representation of information moves from the cognitive to the perceptual system. The results enable a more intuitive, interactive approach to the discovery of knowledge. The paper illustrates this behavioral model for clustering data, and applies it to the visualization of a number of real and synthetic datasets

Personalizable edge services for Web accessibility

Web Content Accessibility guidelines by W3C (W3C Recommendation, May 1999. http://www.w3.org/TR/WCAG10/) provide several suggestions for Web designers regarding how to author Web pages in order to make them accessible to everyone. In this context, this paper proposes the use of edge services as an efficient and general solution to promote accessibility and breaking down the digital barriers that inhibit users with disabilities to actively participate to any aspect of society. The idea behind edge services mainly affect the advantages of a personalized navigation in which contents are tailored according to different issues, such as client’s devices capabilities, communication systems and network conditions and, finally, preferences and/or abilities of the growing number of users that access the Web. To meet these requirements, Web designers have to efficiently provide content adaptation and personalization functionalities mechanisms in order to guarantee universal access to the Internet content. The so far dominant paradigm of communication on theWWW, due to its simple request/responsemodel, cannot efficiently address such requirements. Therefore, it must be augmented with new components that attempt to enhance the scalability, the performances and the ubiquity of the Web. Edge servers, acting on the HTTP data flow exchanged between client and server, allow on-the-fly content adaptation as well as other complex functionalities beyond the traditional caching and content replication services. These value-added services are called edge services and include personalization and customization, aggregation from multiple sources, geographical personalization of the navigation of pages (with insertion/emphasis of content that can be related to the user’s geographical location), translation services, group navigation and awareness for social navigation, advanced services for bandwidth optimization such as adaptive compression and format transcoding, mobility, and ubiquitous access to Internet content. This paper presents Personalizable Accessible Navigation (PAN) that is a set of edge services designed to improveWeb pages accessibility, developed and deployed on top of a programmable intermediary framework. The characteristics and the location of the services, i.e., provided by intermediaries, as well as the personalization and the opportunities to select multiple profiles make PAN a platform that is especially suitable for accessing the Web seamlessly also from mobile terminals

A novel intermediary framework for dynamic edge service composition

Multimedia content, user mobility and heterogeneous client devices require novel systems that are able to support ubiquitous access to the Web resources. In this scenario, solutions that combine flexibility, efficiency and scalabilityin offering edge services for ubiquitous access are needed. We propose an original intermediary framework, namely Scalable Intermediary Software Infrastructure (SISI), which is able to dynamically compose edge services on the basis of user preferences and device characteristics. The SISI framework exploits a per-user profiling mechanism, where each user can initiallyset his/her personal preferences through a simple Web interface, and the system is then able to compose at run-time the necessary components. The basic framework can be enriched through new edge services that can be easily implemented through a programming model based on APIs and internal functions. Our experiments demonstrate that flexibility and edge service composition do not affect the system performance. We show that this framework is able to chain multiple edge services and to guarantee stable performance