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Luciana Morogan - IEEE Xplore Author Profile

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ODIN112 is a machine learning based application designed to enhance the Romanian emergency call-center service, through various speech processing subsystems. In this paper, it is presented an improvement for the speech emotion recognition component. We introduce a new emotional state, irritation, in the Romanian Emo-IIT dataset and replace the neural network with a more computationally efficient a...Show More
Following the idea that the memory-hard hash function Argon2 can be modified to support other compression functions, we propose the use of Blake 3 and a tweaked version of it as the core function. More precisely, we are particularly interested in Argon2i, as the applications we target consist of password-based key derivation functions. We managed to speedup Argon2i in software while keeping it sec...Show More
Seeking to take advantage of the innovations brought by machine learning, a field in a continuous movement and development, the present paper aims to enhance a practice that has been used since ancient times: steganography. Thereby, we targeted the implementation of a system aimed to hide image-type messages with the aid of deep neural networks. We followed a baseline model designed according to t...Show More
The COVID-19 pandemic has put a strain on health facilities world-wide. However, remote screening can lessen the burden on medical resources. If done manually, screening does not scale to the large number of people that require it. We are constructing an automated remote screening system for Romania. The system needs to support simultaneous use by many persons (presumably a significant part of the...Show More
Generative models are statistical models that learn a true underlying data distribution from samples using unsupervised learning, aiming to generate new data points with some variation. In this paper, we introduce OpenNIG (Open Neural Image Generator), an open-source neural networks toolkit for image generation. It offers the possibility to easily train, validate and test state of the art models. ...Show More
The paper presents (1) a new library (API) that provides easy access to the Romanian WordNet and (2) an application based on the API to perform embedded vector retrofitting. The new API (further referred to as RoWn) is built in Python and offers direct access to all the data provided in the Romanian WordNet. It implements all basic I/O and query operations. As RoWn is based on a directed graph str...Show More
Model checking has proved to be a very useful formal verification technique in the design of communication and security protocols. Researches have used it to validate the communications protocols from the point of view of their functional and security specifications. Over the years, model checking has evolved from explicit encoding of the state space to symbolic encoding, thus overcoming the state...Show More
Model-based testing is an approach capable of providing one of the highest automation degree for the testing process. But its success depends on the validity of the model. One of the factors that contributes to developing valid models is the specification language used for this task. This paper presents a work in progress regarding the proposal of a new domain specific language for ad hoc networks...Show More
Robust image hashing seeks to transform a given input image into a shorter hashed version using a key-dependent non-invertible transform. These hashes find extensive applications in content authentication, image indexing for database search and watermarking. Modern robust hashing algorithms consist of feature extraction, a randomization stage to introduce non-invertibility, followed by quantizatio...Show More
This paper aims to create a background for information processing support. We introduce formal classes called object compounds. By object compounds, we refer to the formalism needed for the construction of (biological inspired equivalent) classes of molecules, compounds or complex - like objects.Show More
There is a need (that came from biological hypothesis about the functionality of certain subsystems of the nervous system) of designing a more realistic model of a dynamic complex system. An idea of such a comlex system started with the prion neural system (already introduced in some previous papers). This article is focused on modeling synapses between neurons of a network by modeling the binding...Show More