Arbeiter, Georg; Patiño Studencki, Lucila (2025)
Strutz, Tilo; Schreiber, Nico (2025)
Multimedia Tools and Applications.
DOI: 10.1007/s11042-025-20971-3
There is a class of entropy-coding methods which do not substitute symbols by code words (such as Huffman coding), but operate on intervals or ranges and thus allow a better approximation of the data entropy. This class includes three prominent members: conventional arithmetic coding, range coding, and coding based on asymmetric numeral systems. To determine the correct symbol in the decoder, each of these methods requires the comparison of a state variable with subinterval boundaries.
In adaptive operation, considering varying symbol statistics, an array of interval boundaries must additionally be kept up to date. The larger the symbol alphabet, the more time-consuming both the search for the correct subinterval and the updating of interval borders become. These entropy coding methods play an important role in all data transmission and storage applications, and optimising speed can be crucial.
Based on detailed pseudo-code, different known and proposed approaches are discussed to speed up the symbol search in the decoder and the adaptation of the array of interval borders, both depending on the chosen alphabet size. It is shown that reducing the big O complexity in practical implementations does not necessarily lead to an acceleration, especially if the alphabet size is too small. For example, the symbol determination at the decoder shows an expected low cpu-clock ratio (O(logn) algorithm versus O(n) algorithm) of about 0.62 for an alphabet with 256 symbols. However, for an alphabet with only 4 symbols, this ratio is 1.05, that means the algorithm with lower theoretical complexity executes slightly faster here. In adaptive compression mode, the binary indexing (BI) method proves to be superior when considering the overall processing time. Although the symbol search (in the decoder) takes longer than using other algorithms (e.g. cpu-clock ratio BI/O(logn) is 1.57), the faster updating of the array of interval borders more than compensates for this disadvantage (total ratio BI/O(logn) is 0.72). A variant of the binary indexing method is proposed, which is more flexible and has a partially lower complexity than the original approach. Specifically, the rescaling of cumulative counts can be reduced in its complexity from O(4n+[log2(n)−2]·n/2) to O(3n).
Schaub, Michael; Floß, Alexander (2025)
cci Zeitung 2025 (07), 17-18.
Schönau, Maximilian; Panhuysen, Markus; Sonntag, Jonas; Banse, Holger; Seel, Günter; Jachmann, Joseph; Schulze, Achim; Hüttl, Bernd; Landes, Dieter (2025)
Schönau, Maximilian; Panhuysen, Markus; Sonntag, Jonas; Banse, Holger; Seel, Günter...
Renewable Energies and Smart Technologies (REST) 2025 Vol. 3 (1).
In this work, the factors leading to string outages are examined, and an enhanced method for detecting faults at the substring
level is presented. Utilizing GPT4-o to analyze O&M reports of 5089 photovoltaic plants, we classified outages
according to the affected components and the underlying origin, identifying the most frequent string fault causes. An
approach employing CUSUM Charts is introduced to identify substring outages within PV systems effectively. The methodology
utilizes fundamental field data that is commonly available in practice. A filtering approach, combined with the use
of CUSUM control charts, minimizes false positives, ensuring that only consistent underperformance is flagged as an outage.
The methodology returns far fewer false positives and more stable error intervals for substring outages than a former
monitoring approach. Overall, the study demonstrates a significant improvement in detecting substring outages. The
advanced methodology enables more effective O&M for PV plants, where substring outages are reliably identified after a
short detection time.
Floß, Alexander; Schüfer, Jonas; Schaub, Michael (2025)
ENERGIEWIRTSCHAFTLICHE TAGESFRAGEN 75 (7-8), 63-67.
Floß, Alexander; Schaub, Michael (2025)
TGA-Kongress, 21.-22.05.2025 in Berlin.
Schaub, Michael; Floß, Alexander (2025)
TGA-Kongress, 21.-22.05.2025 in Berlin.
Wilde, Mathias; Kuhn, Marcel (2025)
Standort - Zeitschrift für Angewandte Geographie 49 (1), 32-37.
DOI: 10.1007/s00548-024-00950-w
Wilde, Mathias; Riedelbauch, Lukas (2025)
disP - The Planning Review 60 (3), 69-79.
DOI: 10.1080/02513625.2024.2471170
Schaub, Michael (2025)
Kusch, Alexander ; Weiß, Marius; Daume, Darwin; Schönau, Maximilian; Schulze, Achim; Landes, Dieter; Hüttl, Bernd (2025)
Kusch, Alexander ; Weiß, Marius; Daume, Darwin; Schönau, Maximilian; Schulze, Achim...
Konferenzband der 8. RET.Con Nordhausen 2025.
Die zunehmende Bedeutung der Photovoltaik für die deutsche Energieversorgung erfordert eine zuverlässige und effiziente Leistungsverifizierung, um mögliche Ertragseinbußen zu minimieren. Smart-Wechselrichter mit integrierten Ferndiagnosefunktionen bieten eine vielversprechende Lösung für die Überwachung und Optimierung des Anlagenbetriebs.
Dieser Beitrag stellt einen speziell entwickelten Messaufbau vor, der die Überprüfung der Messfähigkeit von Smart-Wechselrichtern ermöglicht, insbesondere in Hinblick auf die Messung von Strom-Spannungs-Kennlinien (IU-Kennlinien). Der Fokus der Untersuchung liegt auf der Analyse der Messunsicherheit gemessener Leistungsmaxima durch Referenzieren auf kalibrierte IU-Kennlinienschreiber.
Die durchgeführten Vergleichsmessungen liefern zufriedenstellende Ergebnisse und zeigen einen Trend zu geringen Messunsicherheiten für höhere Bestrahlungsstärken. Dies bestätigt das Potenzial von Smart-Wechselrichtern für die Leistungsüberwachung von Photovoltaikanlagen und unterstreicht den Nutzen für die Optimierung des Anlagenbetriebs.
Panico, Simone; Leonardi, Eleonora; Larcher, Marco; Zandonai, Alessandro; Cennamo, David; Herrera-Avellanosa, Daniel; Troi, Alexandra (2025)
Panico, Simone; Leonardi, Eleonora; Larcher, Marco; Zandonai, Alessandro...
Journal of Building Performance Simulation 0 (0), 1–24.
DOI: 10.1080/19401493.2025.2591400
Gholami, Mansoureh; Larcher, Marco; Troi, Alexandra (2025)
International Conference on Moisture in Buildings, 498–511.
Panico, Simone; Exner, Dagmar; Larcher, Marco; Troi, Alexandra; Miori, Giordano; Cennamo, David; Herrera-Avellanosa, Daniel (2025)
Panico, Simone; Exner, Dagmar; Larcher, Marco; Troi, Alexandra; Miori, Giordano...
Central European Symposium on Building Physics, 477–498.
Wolf, Maximilian; Tritscher, J.; Landes, Dieter; Hotho, Andreas; Schlör, D. (2024)
Computers and Security 2024 (145), 103993.
DOI: 10.1016/j.cose.2024.103993
Schönau, Maximilian; Schönau, Elisabeth; Daume, Darwin; Panhuysen, Markus; Schulze, Achim; Hüttl, Bernd; Landes, Dieter (2024)
Schönau, Maximilian; Schönau, Elisabeth; Daume, Darwin; Panhuysen, Markus...
Proceedings of 41th European Photovoltaic Solar Energy Conference and Exhibition.
DOI: 10.4229/EUPVSEC2024/3AV.3.50
Schönau, Maximilian; Daume, Darwin; Panhuysen, Markus; Kreller, Tristan; Jachmann, Joseph; Schulze, Achim; Hüttl, Bernd; Landes, Dieter (2024)
Schönau, Maximilian; Daume, Darwin; Panhuysen, Markus; Kreller, Tristan...
Proceedings of 41th European Photovoltaic Solar Energy Conference and Exhibition.
DOI: 10.4229/EUPVSEC2024/4CV.1.4
Wilde, Mathias; Riedelbauch, Lukas (2024)
Internationales Verkehrswesen 76 (3), 48-50.
Srinivasan, Priya; Tribulowski, Paul; Lindner, Alisa (2024)
Advances in Human Factors of Transportation 2024, 161-171.
DOI: 10.54941/ahfe1005206
Dehghani, Ali; Patiño Studencki, Lucila (2024)
10th. International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS) 2024.
Hochschule Coburg
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