@book{Margaria2007, author = {Margaria, Tiziana}, title = {Proceedings / EuroSPI 2007, European Software Process Improvement, 26.-28.09.2007, University of Potsdam, Germany}, editor = {Messnarz, Richard}, publisher = {ASQF}, address = {Erlangen}, isbn = {978-3-9809145-6-7}, pages = {Getr. Z{\"a}hl.}, year = {2007}, language = {en} } @phdthesis{Puhlmann2007, author = {Puhlmann, Frank}, title = {On the application of a theory for mobile systems to business process management}, address = {Potsdam}, pages = {xiv, 219 S. : graph. Darst.}, year = {2007}, language = {en} } @book{AbrahamssonBaddooMargariaetal.2007, author = {Abrahamsson, Pekka and Baddoo, Nathan and Margaria, Tiziana and Messnarz, Richard}, title = {Software Process Improvement : 14th europea conference, EuroSpi 2007, Potsdam, Germany, September 26-28, 2007 ; Proceedings}, series = {Lecture Notes in Computer Science}, volume = {4764}, journal = {Lecture Notes in Computer Science}, publisher = {Springer}, address = {Berlin}, pages = {223 S.}, year = {2007}, language = {en} } @book{PolyvyanyyKuropka2007, author = {Polyvyanyy, Artem and Kuropka, Dominik}, title = {A Quantitative Evalution of the Enhanced Topic-based Vector Space Model}, series = {Technische Berichte des Hasso-Plattner-Instituts f{\"u}r Softwaresystemtechnik an der Universit{\"a}t Potsda}, volume = {19}, journal = {Technische Berichte des Hasso-Plattner-Instituts f{\"u}r Softwaresystemtechnik an der Universit{\"a}t Potsda}, publisher = {Universit{\"a}tsverlag Potsdam}, address = {Potsdam}, isbn = {978-3-939469-95-7}, issn = {1613-5652}, pages = {88 S.}, year = {2007}, language = {en} } @phdthesis{Kuznetsov2007, author = {Kuznetsov, Grigory}, title = {Fehlererkennung in systemmetrischen Block-Chiffren}, address = {Potsdam}, pages = {118 S. : graph. Darst.}, year = {2007}, language = {de} } @phdthesis{Rzeha2007, author = {Rzeha, Jan}, title = {Generation and Storage of Diagnosis Data On-Chip}, address = {Potsdam}, pages = {VII, 94 S. : graph. Darst.}, year = {2007}, language = {en} } @phdthesis{Marienfeld2007, author = {Marienfeld, Daniel}, title = {Effiziente Fehlerkennung f{\"u}r arithmetische Einheiten}, address = {Potsdam}, pages = {VIII, 122 S. : graph. Darst.}, year = {2007}, language = {de} } @article{GrellSchaubSelbig2006, author = {Grell, Susanne and Schaub, Torsten H. and Selbig, Joachim}, title = {Modelling biological networks by action languages via set programming}, issn = {0302-9743}, doi = {10.1007/11799573}, year = {2006}, language = {en} } @article{DelgrandeSchaubTompits2006, author = {Delgrande, James Patrick and Schaub, Torsten H. and Tompits, Hans}, title = {A Preference-Based Framework for Updating logic Programs : preliminary reports}, year = {2006}, language = {en} } @article{GressmannJanhunenMerceretal.2006, author = {Gressmann, Jean and Janhunen, Tomi and Mercer, Robert E. and Schaub, Torsten H. and Thiele, Sven and Tichy, Richard}, title = {On probing and multi-threading in platypus}, year = {2006}, language = {en} } @book{OPUS4-11818, title = {Accessible Media : Pre-Proceedings of a Workshop Potsdam 8-9 May, 2006}, series = {Preprint / Universit{\"a}t Potsdam, Institut f{\"u}r Informatik}, volume = {2006, 7}, journal = {Preprint / Universit{\"a}t Potsdam, Institut f{\"u}r Informatik}, editor = {J{\"u}rgensen, Helmut}, publisher = {Univ.}, address = {Potsdam}, issn = {0946-7580}, year = {2006}, language = {en} } @book{Krahmer2006, author = {Krahmer, Sebastian}, title = {Generating runtime call graphs}, series = {Preprint / Universit{\"a}t Potsdam, Institut f{\"u}r Informatik}, volume = {2006, 8}, journal = {Preprint / Universit{\"a}t Potsdam, Institut f{\"u}r Informatik}, publisher = {Univ.}, address = {Potsdam}, issn = {0946-7580}, pages = {16 S.}, year = {2006}, language = {en} } @book{JeskeBrehmerMengeetal.2006, author = {Jeske, Janin and Brehmer, Bastian and Menge, Falko and H{\"u}ttenrauch, Stefan and Adam, Christian and Sch{\"u}ler, Benjamin and Schult, Wolfgang and Rasche, Andreas and Polze, Andreas}, title = {Aspektorientierte Programmierung : {\"U}berblick {\"u}ber Techniken und Werkzeuge}, series = {Technische Berichte des Hasso-Plattner-Instituts f{\"u}r Softwaresystemtechnik an der Universit{\"a}t Potsda}, volume = {14}, journal = {Technische Berichte des Hasso-Plattner-Instituts f{\"u}r Softwaresystemtechnik an der Universit{\"a}t Potsda}, publisher = {Universit{\"a}tsverlag Potsdam}, address = {Potsdam}, isbn = {3-939469-23-8}, issn = {1613-5652}, pages = {88 S.}, year = {2006}, language = {de} } @phdthesis{Leininger2006, author = {Leininger, Andreas}, title = {New diagnosis and test methods with high compaction rates}, publisher = {Mensch \& Buch Verl.}, address = {Berlin}, isbn = {3-86664-066-8}, pages = {IX, 98 S. : Ill., graph. Darst.}, year = {2006}, language = {en} } @article{AngerGebserSchaub2006, author = {Anger, Christian and Gebser, Martin and Schaub, Torsten H.}, title = {Approaching the core of unfounded sets}, year = {2006}, language = {en} } @article{ShenoyKrauledatBlankertzetal.2006, author = {Shenoy, Pradeep and Krauledat, Matthias and Blankertz, Benjamin and Rao, Rajesh P. N. and M{\"u}ller, Klaus-Robert}, title = {Towards adaptive classification for BCI}, doi = {10.1088/1741-2560/3/1/R02}, year = {2006}, abstract = {Non-stationarities are ubiquitous in EEG signals. They are especially apparent in the use of EEG-based brain- computer interfaces (BCIs): (a) in the differences between the initial calibration measurement and the online operation of a BCI, or (b) caused by changes in the subject's brain processes during an experiment (e.g. due to fatigue, change of task involvement, etc). In this paper, we quantify for the first time such systematic evidence of statistical differences in data recorded during offline and online sessions. Furthermore, we propose novel techniques of investigating and visualizing data distributions, which are particularly useful for the analysis of (non-) stationarities. Our study shows that the brain signals used for control can change substantially from the offline calibration sessions to online control, and also within a single session. In addition to this general characterization of the signals, we propose several adaptive classification schemes and study their performance on data recorded during online experiments. An encouraging result of our study is that surprisingly simple adaptive methods in combination with an offline feature selection scheme can significantly increase BCI performance}, language = {en} } @article{Bobda2009, author = {Bobda, Christophe}, title = {Special issue on ReCoSoC 2007 : editorial}, issn = {0141-9331}, doi = {10.1016/j.micpro.2009.01.001}, year = {2009}, language = {en} } @article{BlankertzDornhegeKrauledatetal.2006, author = {Blankertz, Benjamin and Dornhege, Guido and Krauledat, Matthias and M{\"u}ller, Klaus-Robert and Kunzmann, Volker and Losch, Florian and Curio, Gabriel}, title = {The Berlin brain-computer interface : EEG-based communication without subject training}, issn = {1534-4320}, doi = {10.1109/Tnsre.2006.875557}, year = {2006}, abstract = {The Berlin Brain-Computer Interface (BBCI) project develops a noninvasive BCI system whose key features are 1) the use of well-established motor competences as control paradigms, 2) high-dimensional features from 128-channel electroencephalogram (EEG), and 3) advanced machine learning techniques. As reported earlier, our experiments demonstrate that very high information transfer rates can be achieved using the readiness potential (RP) when predicting the laterality of upcoming left-versus right-hand movements in healthy subjects. A more recent study showed that the RP similarily accompanies phantom movements in arm amputees, but the signal strength decreases with longer loss of the limb. In a complementary approach, oscillatory features are used to discriminate imagined movements (left hand versus right hand versus foot). In a recent feedback study with six healthy subjects with no or very little experience with BCI control, three subjects achieved an information transfer rate above 35 bits per minute (bpm), and further two subjects above 24 and 15 bpm, while one subject could not achieve any BCI control. These results are encouraging for an EEG-based BCI system in untrained subjects that is independent of peripheral nervous system activity and does not rely on evoked potentials even when compared to results with very well-trained subjects operating other BCI systems}, language = {en} } @phdthesis{Mueller2016, author = {M{\"u}ller, Stephan Heinz}, title = {Aggregates Caching for Enterprise Applications}, school = {Universit{\"a}t Potsdam}, pages = {167}, year = {2016}, abstract = {The introduction of columnar in-memory databases, along with hardware evolution, has made the execution of transactional and analytical enterprise application workloads on a single system both feasible and viable. Yet, we argue that executing analytical aggregate queries directly on the transactional data can decrease the overall system performance. Despite the aggregation capabilities of columnar in-memory databases, the direct access to records of a materialized aggregate is always more efficient than aggregating on the fly. The traditional approach to materialized aggregates, however, introduces significant overhead in terms of materialized view selection, maintenance, and exploitation. When this overhead is handled by the application, it increases the application complexity, and can slow down the transactional throughput of inserts, updates, and deletes. In this thesis, we motivate, propose, and evaluate the aggregate cache, a materialized aggregate engine in the main-delta architecture of a columnar in-memory database that provides efficient means to handle costly aggregate queries of enterprise applications. For our design, we leverage the specifics of the main-delta architecture that separates a table into a main and delta partition. The central concept is to only cache the partial aggregate query result as defined on the main partition of a table, because the main partition is relatively stable as records are only inserted into the delta partition. We contribute by proposing incremental aggregate maintenance and query compensation techniques for mixed workloads of enterprise applications. In addition, we introduce aggregate profit metrics that increase the likelihood of persisting the most profitable aggregates in the aggregate cache. Query compensation and maintenance of materialized aggregates based on joins of multiple tables is expensive due to the partitioned tables in the main-delta architecture. Our analysis of enterprise applications has revealed several data schema and workload patterns. This includes the observation that transactional data is persisted in header and item tables, whereas in many cases, the insertion of related header and item records is executed in a single database transaction. We contribute by proposing an approach to transport these application object semantics to the database system and optimize the query processing using the aggregate cache by applying partition pruning and predicate pushdown techniques. For the experimental evaluation, we propose the FICO benchmark that is based on data from a productive ERP system with extracted mixed workloads. Our evaluation reveals that the aggregate cache can accelerate the execution of aggregate queries up to a factor of 60 whereas the speedup highly depends on the number of aggregated records in the main and delta partitions. In mixed workloads, the proposed aggregate maintenance and query compensation techniques perform up to an order of magnitude better than traditional materialized aggregate maintenance approaches. The introduced aggregate profit metrics outperform existing costbased metrics by up to 20\%. Lastly, the join pruning and predicate pushdown techniques can accelerate query execution in the aggregate cache in the presence of multiple partitioned tables by up to an order of magnitude.}, language = {en} } @phdthesis{Kilic2016, author = {Kilic, Mukayil}, title = {Vernetztes Pr{\"u}fen von elektronischen Komponenten {\"u}ber das Internet}, school = {Universit{\"a}t Potsdam}, pages = {104, XVI}, year = {2016}, language = {de} }