To read more about a specific project click on ‘more’ at the end of each description.
If you have any questions, feel free to contact me.
Originstamp – Trusted Timestamping using Bitcoin
Use cases include proving…
- a task was completed prior to a certain date.
- a photo or video has been recorded prior to a certain date.
- a contract has been signed prior to a certain date.
- an idea for a patent already existed prior to signing a NDA or prior to a certain date.
- source-code existed prior to a certain date.
Trusted timestamping isn’t new. Even before computers existed information could be hashed and the hash could be published in a newspaper. However, OriginStamp.org uses the Bitcoin blockchain to anonymously timestamp information in a tamper proof way.
CitePlag – Citation-based Plagiarism Detection
Existing software only examines literal text similarity to detect plagiarism, and thus typically fails to detect disguised plagiarism forms, including paraphrases, translations, or idea plagiarism. CbPD addresses this shortcoming by additionally analyzing the citation placement in the full-text of documents to form a language-independent semantic “fingerprint” of document similarity.
CitePlag implements several citation-based algorithms to analyze the citation patterns of publications. The screenshot shows two publications visualized in the CitePlag prototype. Matching citations are highlighted and connected in a central column for quick document examination. The documents share no literal text similarity: the left publication is in English and the right in Chinese. However, one can see that the overlap of citations is high, and the order in which sources are cited is nearly identical in several paragraphs.
Docear (previously “SciPlore Mindmapping”)
Docear is an open source “literature management suite” addressing the needs of researchers by offering an integrated solution to literature and knowledge management using mind maps. Watch the video below or visit the website for details on this ongoing project.
The GSM-Guardian Angel (2000 – 2004 “Jugend Forscht” competition)
hat 10% of these people could be saved if emergency services had been notified immediately. Bela Gipp had the idea to develop a system that automatically detects accidents, determines the location, and notifies the emergency services. Together with Jöran Beel and Lars Petersen, he developed a prototype capable of detecting automobile accidents by integrating a microcontroller and an acceleration sensor into a mobile phone. Sophisticated detection algorithms eliminate false alarms, for example, if the phone is dropped. In case of an accident, the emergency services are notified automatically. The location is determined using triangulation in the GSM network. In the future, the Global Positioning System (GPS) could be used to improve precision. Alternatively, if the car has airbags, their deployment could be used to trigger the emergency response. The presented system also features a software that displays the accident location on a map, and if enabled, the GSM-Guardian Angel transmits patient data, including blood group and allergies to medication.” Text translated into English from the 1999, statement of the National Jury of ‘Jugend Forscht’ on the project “Der GSM-Schutzengel” (“The GSM-Guardian Angel”).
In 2002 the project won the 1st place in the state level competition and the 2nd place in the national level competition, in which 7,800 participants competed. This link opens the award ceremony with the German Chancellor, Gerhard Schröder.
We continued the research project after the Jugend Forscht competition, and sold the product in 2004. The idea has since been adopted, as eCall in Europe and as GM’s OnStar service in North America.
Scienstein Publication Recommender (2008 – 2011)
Mobile GPS Locator (2001 – 2002)
AccessAngel (2003 – 2011)