RES-COM: Resource Conservation by Context-Activated M2M-Communication
The project RES-COM is funded by the Federal Ministry of Education and Research (Resource Conservation through Context-dependent Machine-to-Machine Communication (M2M)). Sustainable handling of limited natural resources and raw materials as well as reducing CO2 emissions are both an ecological and economical necessity, and a social challenge. In future, efficient usage of resources such as energy, water, air, and valuable raw materials will mainly be software-driven and realized through technical communication between IT-systems. The concrete vision of an automatized conservation of resources through highly interconnected und integrated sensor-actuator-systems (ranging from embedded systems to cyber-physical systems) becomes a great scientific challenge in the area of distributed problem-solving - whose solution is in reach for Germany as one of the leading pioneers in the field of the Internet of Things.
Alliance Digital Product Flow
The ADiWa project (Alliance Digital Product Flow) makes the huge potential of information from the Internet of Things accessible for business-relevant workflows that can be strategically planned and manipulated. For the data-level connection of objects from the real world, results from available solutions and from the SemProM project shall be used. ADiWa focuses on business processes, which can be controlled and manipulated based on evaluated information from the real world.
Semantic Product Memory
As part of the "Digital Product Memory" Innovation Alliance of the Federal Ministry of Education and Research, the research and industry technology cooperation "SemProM - Semantic Product Memory" has the objective to develop the next generation of mobile, embedded, and wireless elements. In the sense of an "Internet of Things" it will be possible to capture all operational and logistical product data and to exchange it with the users, other products, and the immediate environment. The industrial partners thereby guarantee the technological leadership and an implementation and standardization of results relevant to real life applications in target sectors like trade, logistics, health care, and automotives.
Sharing artificial memories
The vision of SharedLife combines techniques known from blogging, social networking services and ubiquitous computing to realize a novel kind of digital assistant, which supports the user in the automated capturing of machine-understandable experiences, the sharing of such experiences with other users, and the combination of other users' experiences with the user's own experiences stored in a personal digital memory. Main results of SharedLife comprise an architecture for sharing personal digital memories, methods which support the user in assessing communication partners and enable control of communication processes. These results were deployed in a scenario combining the everyday actions shopping and cooking.
Context- and Affect-Aware Personal Assistance in Instrumented Environments
Sensors deployed in mobile devices and intelligent environments allow for capturing user actions with increasing preciseness. SPECTER uses this input to build a personal lifelog; it exploits this data to support the user in reflection on recent events and to augment his or her perception with relevant information from past experiences. The lifelog's conceptual model comprises components such as short-term memory, context log, and personal journal. The system was positively evaluated in a shopping scenario.