Andrzej Sobecki

Gdansk University of Technology · Department of Computer Architecture

This work presents the results of comparison text representations used for short text classification with SVM and neural network when challenged with imbalanced data. We analyze both direct and indirect methods for selecting the proper category and improve them with various representation techniques. As a baseline, we set up a BOW method and then u...

This paper proposes an improved monitoring and measuring system dedicated to industrial infrastructure. Our model achieves security of data by incorporating cryptographical methods and near real-time access by the use of virtual tree structure over records. The currently available blockchain networks are not very well adapted to tasks related to th...

Cloud Computing is one of the most disruptive technologies of this century. This technology has been widely adopted in many areas of the society. In the field of manufacturing industry, it can be used to provide advantages in the execution of the complex geometric computation algorithms involved on CAD/CAM processes. The idea proposed in this resea...

In this paper, we propose a privacy-preserving i-voting system based on the public Stellar Blockchain network. We argue that the proposed system satisfies all requirements stated for a robust i-voting system including transparency, verifiability, and voter anonymity. The practical architecture of the system abstracts a voter from blockchain technol...

Lack of standardization is highly visible while we use historical data sets or compare our model with others that use IoMT devices from different vendors. The problem also concerns the trust in highly decentralized and anonymous environments where sensitive data are transferred through the Internet and then are analyzed by third-party companies. In...

The level of customer support provided by the existing eCommerce solutions assumes that the person using the functionality of the shop has sufficient knowledge to decide on the purchase transaction. A low conversion rate indicates that customers are more likely to seek knowledge about the particular product than finalize the transaction. This is fa...

This paper presents the application of artificial neural networks and decision trees for the prediction of odor properties of post-fermentation sludge from a biological-mechanical wastewater treatment plant. The input parameters were concentrations of popular compounds present in the sludge, such as toluene, p-xylene, and p-cresol, and process para...

In the era of a ubiquitous Internet of Things and fast artificial intelligence advance, especially thanks to deep learning networks and hardware acceleration, we face rapid growth of highly decentralized and intelligent solutions that offer functionality of data processing closer to the end user. Internet of Things usually produces a huge amount of...

The plagiarism detection problem involves finding patterns in unstructured text documents. Similarity of documents in this approach means that the documents contain some identical phrases with defined minimal length. The typical methods used to find similar documents in digital libraries are not suitable for this task (plagiarism detection) because...

Providing high quality services offered by data centers is very difficult due to the complex architecture of used solutions. Data centers usually use tools to monitor critical components in order to reduce the likelihood of a failure. One of the problems associated with the components monitoring is the amount of incoming information and the difficu...

Przedstawiono metodologię komponentowego wytwarzania aplikacji bazujących na strumieniowym przetwarzaniu danych. Scharakteryzowano proces wytwarzania oparty o nowo utworzoną platformę Kaskada, ulokowaną w środowisku superkomputera Galera. Przedstawiono gotową listę usług dostępnych na tej platformie. Podano przykładowy scenariusz orkiestracji usług...