Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 26 for “"Information Propagation"”.
-
Exploitation of information propagation patterns in social sensing
… The sensors are essentially human, who share information in the broadcast social media. Such human sensors impose challenges like influence, bias, polarization, and data overload, unseen in the traditional sensor network. This dissertation addresses the aforementioned challenges by exploiting …
-
Information Propagation Algorithms for Consensus Formation in Decentralized Multi-Agent Systems
… that enables agents to communicate and exchange information such that, in finite time, agents are able to form a consensus without the use of a centralized control mechanism. The primary goal of this research is to introduce and provide supporting evidence for Stochastic Local Observation/Gossip …
-
Algorithms for Modeling Mass Movements and their Adoption in Social Networks
… and patterns. To fully understand mass movement information propagation patterns in social networks, several problems need to be considered and addressed. Specifically, modeling mass movements that incorporate multiple spaces, a dynamic network structure, and misinformation propagation, can be …
-
Seeing the Forest for the Trees: New approaches to Characterizing and Forecasting Cascades
… are a popular construct to observe and study information propagation (or diffusion) in social media such as Twitter and are defined using notions of influence, activity, or discourse commonality (e.g., hashtags). While these notions of cascades lead to different perspectives, primarily …
-
KSUGo
… their course management skills, and increase information propagation among students and campus officials. Currently, Kennesaw State does not have a dedicated general purpose native application on any mobile device platform for students, faculty, or staff to use for improving their everyday …
-
Efficient Learning Control via Structural Policy Priors, Latent World Models and Hierarchical Abstraction
… is conditional upon maximizing task-aligned information extracted from environment interactions while minimizing the required guidance via human interventions. In this thesis, we develop novel learning control algorithms that enable efficient acquisition of complex behaviors while limiting …
-
MANY-BODY ENTANGLEMENT DYNAMICS AND COMPUTATION IN QUANTUM SYSTEMS WITH POWER-LAW INTERACTIONS
… particles—are promising candidates for quantum information processors. Due to their high degree of connectivity, they are potentially capable of generating entanglement more quickly than systems limited to local interactions, which may lead to faster computational speeds. The questions of the …
-
Acervos científicos digitais nas bibliotecas universitárias da UFRJ: competências, estratégias e normas para sua salvaguarda
… which belong to the university libraries and information system (Sistema de Bibliotecas e Informação) of Rio de Janeiro’s Federal University (Universidade Federal do Rio de Janeiro) SIBI/UFRJ. The research provided consolidated data related to the university’s libraries which integrate the …
-
Quantum Simulation of Many-body Systems with Superconducting Qubits
… under the tight-binding model, and probe quantum information propagation by measuring out-of-time-ordered correlators (OTOCs). Using a 4×4 qubit array, we probe entanglement across the energy spectrum of a hard-core Bose-Hubbard lattice by extracting correlation lengths and entanglement entropy of …
-
Distributed Control, Optimization, and State Estimation for Renewable Power System
… loss model is proposed. On the other hand, an information propagation method is provided to develop the Distributed State Estimation (DSE) algorithm. Then, the bad data detection and measurement accuracy improvement topics in state estimation are discussed. Then, based on the proposed DED …
-
Assessment of Vehicle-to-Vehicle Communication based Applications in an Urban Network
… for two study areas. The distance of incident information propagation and speed estimation error are used to measure the performance of event-driven and periodic applications based on different market penetration rates of equipped vehicles and wireless communication coverage in both morning …
-
Impact of Second Messenger Modulation on Activity-Dependent and Basal Properties of Excitatory Synapses
… in the central nervous system relies on accurate information propagation; neurotransmission is the fundamental mechanism underlying network information flow. Because network information is coded by the timing and the strength of neuronal activity, synaptic properties that translate neuronal …
-
Constructing and Analyzing Neural Network Dynamics for Information Objectives and Working Memory
… we blend ideas from computational neuroscience, information and control theories with machine learning to shed light on how certain key functions are encoded through the dynamics of neural circuits. In this regard, we pursue the ‘top-down’ modeling approach of engineering neuroscience to relate …
-
Beyond problem identification: valuing methods in a ‘system usability practice’
… represents the project’s context; 2) where information propagation and transformation in a project is influenced by social, information flow, artefact, physical and evolutionary factors; and 3) where the functional couplings between parts of the system of usability practice can be monitored …
-
Quantum Computing from Graphs
… the graph’s input-output edges represent information propagation of the encoding circuit, while output-output edges represent the code’s entanglement structure. We prove that this graph representation is in bijection with tableaus and give an efficient compilation algorithm that transforms …
-
The Impact of Corporate Crisis on Stock Returns: An Event-driven Approach
… firm equity value. My research aims to integrate information available on the market to assist firms in tackling crisis events, and to provide insight for better decision making. We first study the impact of crisis events on firm performance. We build a hybrid deep learning model that utilizes …
-
Large Scale Aggregated Sentiment Analytics
… Analytics becoming increasingly popular topic in Information Retrieval, which has established itself as a promising direction of research. With the rapid growth of the user-generated content represented in blogs, forums, social networks and micro-blogs, it became a useful tool for social studies, …
-
Analyzing the Impact of Wireless Multi-Hop Networking On Vehicular Safety
… the dissemination of timely and accurate vehicle information (e.g. speed, position) to geographically large distances without compromising data supply rates from immediate neighbors. This feature is critical for the design of vehicle safety and navigation applications. Single hop broadcasting is …
-
Energy-aware Sparse Sensing of Spatial-temporally Correlated Random Fields
… number of sensing locations according to the information revealed from past measurements,and the objective is to minimize the expected level set estimation error.The expected estimation error probability is explicitly expressed as a function of the selected sensing locations, and the results …
-
Simple, Fast, Scalable, and Reliable Multiprocessor Algorithms
… (generalized wake-up), which generalizes the information propagation problem called wake-up. I prove fundamental hardness results about this problem, and through reductions, show that any linearizable queue, stack, priority queue, counter, or union-find object's work complexity must increase …
Page 1 of 2