Sökning: "Module"
Visar resultat 26 - 30 av 1595 uppsatser innehållade ordet Module.
26. Development and Analysis of Small Signal DQ-Frame Model for Low Frequency Stability of Train Converters
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In order to meet the increasing demand for sustainable transportation, trains need to run with tighter schedules, more departures and more trains in depot. Multiple trains in depot has been linked to low frequency instability at many locations around the world. LÄS MER
27. Intelligible dialogue manager for social robots : An AI dialogue robot solution based on Rasa open-source framework and Pepper robot
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : In the process of Human-Robot Interaction, improving the intelligibility of robots is crucial. Intelligibility refers to the degree to which humans can understand robot behavior and decision-making. When humans interact with low-intelligibility robots, it can lead to a series of problems, such as misunderstanding and trust issues. LÄS MER
28. Novel Method of ASIC interface IP development using HLS
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : High-Level Synthesis(HLS) is a design methodology that enables designers to implement hardware from high-level coding languages, such as C, C++, or System C. It provides designers with the ability to convey their design at a higher level of abstraction, which allows more emphasis on an algorithm and functional aspects of design instead on low-level hardware details. LÄS MER
29. Incorporation of GNSS system for underwater cleaning robot
M1-uppsats, KTH/ProduktionsutvecklingSammanfattning : Water reservoirs, such as swimming pools, are usually cleaned using underwater cleaners, also called pool robots. These robots usually use a randomized pattern to cover the bottom areas. For large and/or complex bottoms, a randomized cleaning pattern may be ineffective. LÄS MER
30. Contextual short-term memory for LLM-based chatbot
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The evolution of Language Models (LMs) has enabled building chatbot systems that are capable of human-like dialogues without the need for fine-tuning the chatbot for a specific task. LMs are stateless, which means that a LM-based chatbot does not have a recollection of the past conversation unless it is explicitly included in the input prompt. LÄS MER