Workflows on Android: A Framework Supporting Business Process Execution and Rule-Based Analysis

In companies, Business Process Management is often supported by Process-aware information systems (PAIS). However, such systems are mostly restricted to stationary desktop computers. To overcome this restriction, smart mobile devices may be used for mobile business process execution. However, with traditional PAIS having a client-server architecture, the computation is done on server side, whereas the client only visualizes business process tasks and interacts with the user. Therefore, smart mobile devices must rely on their mobile connection to provide PAIS features to its users. A possible solution is the transfer of server side features to the smart mobile device itself, enabling the latter to instantiate business process models and analyze business process instances by itself, without the need of a direct connection to a workflow-server. This thesis presents Workflows on Android (WOtAN), a modular and flexible framework for business process management running on Android smart mobile devices. However, the thesis focuses on flexible and robust business process execution as well as the analysis of business process instances. For this, predefined evaluation rules are applied on data that was collected during business process instance execution. Different concepts and interesting implementation aspects are presented in this thesis. Further, an application scenario is shown, where WOtAN is used to properly support a mobile data collection application

Smartphone sensing platform for emergency management

The increasingly sophisticated sensors supported by modern smartphones open up novel research opportunities, such as mobile phone sensing. One of the most challenging of these research areas is context-aware and activity recognition. The SmartRescue project takes advantage of smartphone sensing, processing and communication capabilities to monitor hazards and track people in a disaster. The goal is to help crisis managers and members of the public in early hazard detection, prediction, and in devising risk-minimizing evacuation plans when disaster strikes. In this paper we suggest a novel smartphone-based communication framework. It uses specific machine learning techniques that intelligently process sensor readings into useful information for the crisis responders. Core to the framework is a content-based publish-subscribe mechanism that allows flexible sharing of sensor data and computation results. We also evaluate a preliminary implementation of the platform, involving a smartphone app that reads and shares mobile phone sensor data for activity recognition.Comment: 11th International Conference on Information Systems for Crisis Response and Management ISCRAM2014 (2014

3.3. CSS for Success? Some Thoughts on Adapting the Browser-Based Archaeological Recording Kit (ARK) for Mobile Recording

The Archaeological Recording Kit (ARK) is an open-source system for flexible, web-based archaeological data management. As new advances in mobile technology have changed the way archaeologists think about data collection, ARK has evolved to meet the needs of on-site methodologies. This chapter outlines the history of ARK development and explores some possible trajectories for adaptation of the system to mobile workflows. Examples from the commercial sector, academic research, and public outreach demonstrate the efficiency of customizing the Cascading Style Sheet (CSS) controlling ARK’s web interface to facilitate tablet recording. Increasing global access to mobile broadband networks will make web-based recording systems such as ARK more convenient in the coming years, but this must also be accompanied by a change in archaeological practice encouraging open, online data not only as an afterthought to publication but as an active part of the fieldwork process.https://dc.uwm.edu/arthist_mobilizingthepast/1015/thumbnail.jp

MSF: An Efficient Mobile Phone Sensing Framework

Recent evolutions in smartphones, today provided with several sensors, have the strong processing capabilities needed to extract from raw sensed data sensor meaningful high-level views of the physical context around the user. A new promising research area called mobile sensing promotes completely decentralized sensing based on smartphone capabilities only. However, current mobile sensing solutions are not very mature; yet, because they are based on ad hoc software solutions tailored to one specific technical problem (e.g., power management, resource locking, etc.), they are difficult to reuse and integrate in different projects, and they do not focus on the performance efficiency of the monitoring support. To overcome those limitations, this paper proposes Mobile Sensing Framework (MSF), a flexible platform to ease the development of mobile sensing applications through the definition of a common set of facilities that mask all low-level technical details in reading and processing raw sensor data. MSF has been optimized also to enhance performances for Android-based systems, and we report an extensive set of experimental results that assess our architecture and quantitatively compare it with a selection of other mobile sensing systems by showing that MSF outperforms them by presenting lower CPU usage and memory footprints

About the implantation process of mobile computing in AEC

The AEC industry is conscious of the potentials arising from the usage of mobile computer systems to increase productivity by streamlining their business processes. Discussions are no longer on whether or not to use a mobile computer solution, but rather, on how it should be used. However, the implantation process of this new technology in Architecture, Engineering and Construction (AEC) and Facility Management (FM) practise is very slow and should be improved. One way to encourage and ease the usage of mobile computer systems in AEC is a more process-oriented usability and context appropriateness of mobile computer solutions. Context-sensitivity is defined as a crucial feature to be taken into account for further research in the area of Mobile Computing. Context-sensitive, mobile IT-solutions depend on two features: (1) flexible definitions of (construction) processes describing the context and (2) tools for flexible, multi-dimensional information management representing the context. It is on this premise that the authors propose the n-dimensional data management approach for the implementation of mobile computing solutions. In this paper, we analyse working scenarios in the AEC and FM sector, defining context aspects which are transformed and formalized as dimension hierarchies of the envisaged context model

A modular web-based software solution for mobile networks planning, operation and optimization

Mobile networks management is increasingly critical due to heavy communications usage by customers and complex due to the multiple technologies and systems deployed. Thus, Mobile Network Operators (MNOs) are constantly looking for better software solutions and tools to help them increase network performance and manage their networks more efficiently. In this paper, we present a modular web-based software solution to tackle problems related to mobile network planning, operation and optimization. The solution is focused on a set of functional requirements carefully chosen to support the network life cycle management, from planning to Operation and Maintenance (OAM) and optimisation stages. Based on a 3-tier modular architecture and implemented using only open-source software, the solution handles multiple data sources (e.g., Drive Test (DT) and Performance Management (PM)) and multiple Radio Access Network (RAN) technologies. MNOs can explore all available data through a flexible and user-friendly web interface, that also includes map-based visualization of the network. Moreover, the solution incorporates a set of recently developed and validated RAN algorithms, supporting tasks of network diagnosis, optimization, and planning. Also, with the purpose of optimizing the network, MNOs can investigate network simulations, using the RAN algorithms, of how the network will behave under certain conditions, and visualize the outcome of those simulations.info:eu-repo/semantics/publishedVersio

A Multimodal Technique for an Embedded Fingerprint Recognizer in Mobile Payment Systems

The development and the diffusion of distributed systems, directly connected to recent communication technologies, move people towards the era of mobile and ubiquitous systems. Distributed systems make merchant-customer relationships closer and more flexible, using reliable e-commerce technologies. These systems and environments need many distributed access points, for the creation and management of secure identities and for the secure recognition of users. Traditionally, these access points can be made possible by a software system with a main central server. This work proposes the study and implementation of a multimodal technique, based on biometric information, for identity management and personal ubiquitous authentication. The multimodal technique uses both fingerprint micro features (minutiae) and fingerprint macro features (singularity points) for robust user authentication. To strengthen the security level of electronic payment systems, an embedded hardware prototype has been also created: acting as self-contained sensors, it performs the entire authentication process on the same device, so that all critical information (e.g. biometric data, account transactions and cryptographic keys), are managed and stored inside the sensor, without any data transmission. The sensor has been prototyped using the Celoxica RC203E board, achieving fast execution time, low working frequency, and good recognition performance