This thesis describes the design of a project for upgrading network infrastructure including devices connected to the network. Specifies the basic concepts and methods of project management. Thesis analyzes the current state of society and the environment. Thesis specializes in the design project.

This thesis describes project design of a production line with remote monitoring. Specifies the basic concepts and methods of project management. Thesis analyses the current state of society and the environment. Thesis specializes in the design project.

<p>The detection of anomalies in real-world networks is applicable in different domains; the application includes, but is not limited to, credit card fraud detection, malware identification and classification, cancer detection from diagnostic reports, abnormal traffic detection, identification of fake media posts, and the like. Many ongoing and current researches are providing tools for analyzing labeled and unlabeled data; however, the challenges of finding anomalies and patterns in large-scale datasets still exist because of rapid changes in the threat landscape. </p><p>In this study, I implemented a novel and robust solution that combines data science and cybersecurity to solve complex network security problems. I used Long Short-Term Memory (LSTM) model, Louvain algorithm, and PageRank algorithm to identify and group anomalies in large-scale real-world networks. The network has billions of packets. The developed model used different visualization techniques to provide further insight into how the anomalies in the network are related. </p><p>Mean absolute error (MAE) and root mean square error (RMSE) was used to validate the anomaly detection models, the results obtained for both are 5.1813e-04 and 1e-03 respectively. The low loss from the training phase confirmed the low RMSE at loss: 5.1812e-04, mean absolute error: 5.1813e-04, validation loss: 3.9858e-04, validation mean absolute error: 3.9858e-04. The result from the community detection shows an overall modularity value of 0.914 which is proof of the existence of very strong communities among the anomalies. The largest sub-community of the anomalies connects 10.42% of the total nodes of the anomalies. </p><p>The broader aim and impact of this study was to provide sophisticated, AI-assisted countermeasures to cyber-threats in large-scale networks. To close the existing gaps created by the shortage of skilled and experienced cybersecurity specialists and analysts in the cybersecurity field, solutions based on out-of-the-box thinking are inevitable; this research was aimed at yielding one of such solutions. It was built to detect specific and collaborating threat actors in large networks and to help speed up how the activities of anomalies in any given large-scale network can be curtailed in time.</p><div><div><div> </div> </div> </div> <br>

Les fonctions cognitives reposent sur la communication dynamique de régions cérébrales interconnectées. Dans la maladie d’Alzheimer (MA), les travaux antérieurs suggèrent que le processus neuropathologique cible de façon précoce un ou plusieurs systèmes anatomo-fonctionnels spécifiques. La dysfonction du réseau par défaut a été objectivée de façon consistante. Cependant, ses relations avec les symptômes cliniques et avec l’atteinte des régions du lobe temporal interne qui lui sont fonctionnellement connectées restent à clarifier. L’IRM fonctionnelle de repos est une technique pertinente pour caractériser in vivo chez l’Homme la connectivité cérébrale.Par une approche des systèmes neuraux, ce travail de thèse a pour objectif de caractériser la réorganisation fonctionnelle neuronale dans la MA, ses corrélats cliniques, ainsi que l’influence de l’âge de début des symptômes. Par le recueil et l’analyse des données neuropsychologiques, en IRMf de repos et en IRM structurale, acquises chez des sujets avec des troubles de la mémoire et avec une forme mnésique légère de MA, notre travail apporte des éclairages : i) sur l’implication du réseau temporal antérieur dans la mémoire déclarative décontextualisée et ses modifications dans le cours de la MA ; ii) sur les similitudes et spécificités des systèmes anatomo-fonctionnels ciblés dans les deux formes cliniques distinctes - à début précoce et tardif - de la MA ; iii) sur la réorganisation de l’organisation topologique cérébrale dans son ensemble de ces deux formes de la maladie. / Cognitive functions rely on the dynamic interplay of connected brain regions. Previous studies suggest that in Alzheimer disease (AD), early pathological changes target one or several specific anatomo-functional networks. Dysfunction of the default mode network is a consistent finding. However, its relationship with clinical symptoms and interconnected medial temporal regions remains to be clarified. Resting state functional MRI (fMRI) is an emerging method aimed at characterizing in vivo brain connectivity in the Human.Using a neural system approach, the aim of this thesis was to characterize neuronal functional reorganization in AD, its clinical correlates, and to determine the influence of age at onset. Neuropsychological data, structural and fMRI were obtained in subjects with early memory impairment and mild “amnestic” AD. This work provides new insights into : i) the functional role of the anterior temporal network in context-free declarative memory and its changes throughout the course of AD; ii) the common and specific features in targeted anatomo-functional networks between early and late onset AD ; iii) the reorganization of whole brain topological properties in the two forms of the disease.

Diploma thesis focuses on the development of parking building with commercial premises Rychtářka in Plzeň, which is realized in the form of public and private sector partnership. The thesis deals with effective application of project management methods in light of the general contractor Hermosa Parking Plzeň a.s. Information and knowledge gained in the theoretical part of the thesis are then used in the practical part for the design of project management methodics on development project Rychtářka. The outcome of practical part of the thesis is project management methodic, which should help to secure the optimal solution for complex structured process that leads to the realization of parking building Rychtářka and the compliance with all the specific characteristics of development projects.

This diploma thesis deals with the planning of construction contracts from the perspective of a contractor. In the theoretical section, the basic concepts of project management are explained. Further, the methods and principles used in the management of the construction project of building a complex are described. The practical part contains a particular case where the methods are used to schedule a time during the course of construction and planning of the resources needed for implementation.

The thesis describes the project management of a construction contract in a construction company from the supplier's point of view. The work includes a theoretical and practical part. The theoretical part describes important definitions and knowledge, which are then used to create a practical part. It deals with the preparation and management of a specific construction contract called "Reconstruction of the sports hall Otrokovice" with the help of methods and procedures that the issue offers.

The thesis is dedicated to and at the same time explains the basic concepts concerning the management of the construction project from contractor's point of view. The aim of this work is guided by the principles, methods and procedures of the management during the construction project and their application to practical project of construction ,,Sportovní hala“ in Nové Veselí.

<p>Protein malfunction can cause human diseases, which makes the protein a target in the process of drug discovery. In-depth knowledge of how protein functions can widely contribute to the understanding of the mechanism of these diseases. Protein functions are determined by protein structures and their dynamic properties. Protein dynamics refers to the constant physical movement of atoms in a protein, which may result in the transition between different conformational states of the protein. These conformational transitions are critically important for the proteins to function. Understanding protein dynamics can help to understand and interfere with the conformational states and transitions, and thus with the function of the protein. If we can understand the mechanism of conformational transition of protein, we can design molecules to regulate this process and regulate the protein functions for new drug discovery. Protein Dynamics can be simulated by Molecular Dynamics (MD) Simulations.</p> <p>The MD simulation data generated are spatial-temporal and therefore very high dimensional. To analyze the data, distinguishing various atomic interactions within a protein by interpreting their 3D coordinate values plays a significant role. Since the data is humongous, the essential step is to find ways to interpret the data by generating more efficient algorithms to reduce the dimensionality and developing user-friendly visualization tools to find patterns and trends, which are not usually attainable by traditional methods of data process. The typical allosteric long-range nature of the interactions that lead to large conformational transition, pin-pointing the underlying forces and pathways responsible for the global conformational transition at atomic level is very challenging. To address the problems, Various analytical techniques are performed on the simulation data to better understand the mechanism of protein dynamics at atomic level by developing a new program called Probing Long-distance interactions by Tapping into Paired-Distances (PLITIP), which contains a set of new tools based on analysis of paired distances to remove the interference of the translation and rotation of the protein itself and therefore can capture the absolute changes within the protein.</p> <p>Firstly, we developed a tool called Decomposition of Paired Distances (DPD). This tool generates a distance matrix of all paired residues from our simulation data. This paired distance matrix therefore is not subjected to the interference of the translation or rotation of the protein and can capture the absolute changes within the protein. This matrix is then decomposed by DPD</p> <p>using Principal Component Analysis (PCA) to reduce dimensionality and to capture the largest structural variation. To showcase how DPD works, two protein systems, HIV-1 protease and 14-3-3 σ, that both have tremendous structural changes and conformational transitions as displayed by their MD simulation trajectories. The largest structural variation and conformational transition were captured by the first principal component in both cases. In addition, structural clustering and ranking of representative frames by their PC1 values revealed the long-distance nature of the conformational transition and locked the key candidate regions that might be responsible for the large conformational transitions.</p> <p>Secondly, to facilitate further analysis of identification of the long-distance path, a tool called Pearson Coefficient Spiral (PCP) that generates and visualizes Pearson Coefficient to measure the linear correlation between any two sets of residue pairs is developed. PCP allows users to fix one residue pair and examine the correlation of its change with other residue pairs.</p> <p>Thirdly, a set of visualization tools that generate paired atomic distances for the shortlisted candidate residue and captured significant interactions among them were developed. The first tool is the Residue Interaction Network Graph for Paired Atomic Distances (NG-PAD), which not only generates paired atomic distances for the shortlisted candidate residues, but also display significant interactions by a Network Graph for convenient visualization. Second, the Chord Diagram for Interaction Mapping (CD-IP) was developed to map the interactions to protein secondary structural elements and to further narrow down important interactions. Third, a Distance Plotting for Direct Comparison (DP-DC), which plots any two paired distances at user’s choice, either at residue or atomic level, to facilitate identification of similar or opposite pattern change of distances along the simulation time. All the above tools of PLITIP enabled us to identify critical residues contributing to the large conformational transitions in both HIV-1 protease and 14-3-3σ proteins.</p> <p>Beside the above major project, a side project of developing tools to study protein pseudo-symmetry is also reported. It has been proposed that symmetry provides protein stability, opportunities for allosteric regulation, and even functionality. This tool helps us to answer the questions of why there is a deviation from perfect symmetry in protein and how to quantify it.</p>