Searched for: mods_note_programme_s%3A%22Electrical%255C%2BEngineering%255C%2B%257C%255C%2BCircuits%255C%2Band%255C%2BSystems%22
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Du, Tianyu (author)
Spiking Neural Networks(SNN) have been widely leveraged by neuromorphic systems due to their ability to closely mimic biological neural behavior, where information is exchanged and received between neurons in the form of sparse events(spikes). Such neuromorphic systems are highly energy-efficient because the use of a global clock can be avoided...
master thesis 2023
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Huang, Jiongyu (author)
A Spiking neural network (SNN) is a type of artificial neural network which encodes information using spike timing, network structure, and synaptic weights to emulate the information processing function of the human brain. Within an SNN, it is always required to support the spike transmission that travels between neurons(array). This thesis aims...
master thesis 2023
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Zhang, Jinyao (author)
Spiking Neural Networks use Address Event Representation to communicate among different Neuron Arrays. To mimic the behavior of the human neural system and meets the requirement for large Neuron Array communication, the AER interconnect should be area-saving, have low power, and operates at high speed.<br/>This thesis aims to build self-timed...
master thesis 2022
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Jiang, Longxing (author)
Convolutional Neural Networks (CNN) have become a popular solution for computer vision problems. However, due to the high data volumes and intensive computation involved in CNNs, deploying CNNs on low-power hardware systems is still challenging.<br/>The power consumption of CNNs can be prohibitive in the most common implementation platforms:...
master thesis 2022
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Long, Jinyun (author)
As the new generation of neural networks, Spiking Neural Network architectures<br/>executes on specialized Neuromorphic devices. The mapping of Spiking Neural Network architectures affects the power consumption and performance of the system. The target platform of the thesis is a hardware platform with Neuromorphic Arrays with columns for neural...
master thesis 2022
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Yang, Yichen (author)
To support the spike propagates between neurons, neuromorphic computing systems always require a high-speed communication link. <br/>Meanwhile, spiking neural networks are event-driven so that the communication links normally exclude the clock signal and related blocks. This thesis aims to develop a self-timed off-chip interconnect system with...
master thesis 2022
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Wang, Chuhan (author)
3D scene reconstruction is a common computer vision task with many applications. The synthesized virtual environments are beneficial for many downstream applications such as 3D modeling, building inspection, virtual reality, etc. As conventional scene reconstruction methods often require expensive data collections and prior information on the...
master thesis 2022
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Dai, Renjie (author)
Workflow analysis aims to improve the efficiency and safety in operating rooms by analysing surgical processes and providing feedback or support, where observations can be made and evaluated by algorithms rather than human experts. For our study, we mount five calibrated cameras from different angles in a Catheterization Laboratory (Cath Lab) to...
master thesis 2022
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Zeng, Jinchen (author)
Surgical workflow analysis has gained more importance in operating rooms, which could take responsibility for the working condition, the safety of both patients and surgical personnel, as well as the working efficiency. Focusing on the optimization of the workflow, a set of cameras is installed in the Catheterization Laboratory in Reinier de...
master thesis 2022
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Tao, Yitong (author)
To better understand how brain signals are processed and even how the human mind works, analyzing the hemodynamic signal model is one of the most essential steps. In the CUBE group of Erasmus MC, functional ultrasound (fUS) data of a mouse’s brain is recorded. By using this fUS dataset, this thesis will solve the problem regarding the joint...
master thesis 2022
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Verkleij, Simon (author)
Receivers for millimeter-wave (mm-wave) 5G, with the ability to detect a low-power desired signal, in the vicinity of large power blockers, require highly linear circuitry with a large power consumption. Suppressing the out-of-band blockers reduces this power consumption. N-path filters (NPFs) have recently been used to reject interferers in...
master thesis 2022
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Wang, Zhiyi (author)
Deep-learning models are commonly used in short-term precipitation forecasting. However, most deep-learning models are likely to produce blurry output problems. In order to get realistic and accurate results, AENN, a variant of Generative Adversarial Networks (GANs), has been developed. The AENN implements an additional temporal discriminator to...
master thesis 2022
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YANG, Xuzhou (author)
As unmanned aerial systems (UAS) turn into a full-fledged industry, the sky will be much more crowded in the future. Large-scale UAV applications make reliable UAV navigation a pressing need. Traditionally, global navigation satellite system (GNSS) is extensively used as the primary positioning, navigation, and timing (PNT) service. However,...
master thesis 2022
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Li, Zhonggang (author)
Distributed formation control has received increasing attention in multiagent systems. Maintaining certain geometry in space is advantageous in many applications such as space interferometry and underwater sensing. At present, there is a variety of distributed solutions for agents to converge to desired formations and track a series of...
master thesis 2022
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HU, YANAN (author)
In recent years, the expansion of the Internet has brought an explosion of visual information, including social media, medical photographs, and digital history. This massive amount of visual content generation and sharing presents new challenges, especially when searching for similar information in databases —— Content-Based Image Retrieval ...
master thesis 2022
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Zhang, QI (author)
In image search, an algorithm tries to identify images in a database that are similar to a query image. Image search has numerous applications. For example, image search can help historians find images of a historical building from a large image database of buildings worldwide. Feature extraction and nearest neighbors methods are standard steps...
master thesis 2022
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Yao, Yuanyuan (author)
Typically, people search images by text: users enter keywords and a search engine returns relevant results. However, this pattern has limitations. An obvious drawback is that when searching in one language, users may miss results labelled in other languages. Moreover, sometimes people know little about the object in the image and thus would not...
master thesis 2022
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Tang, Rui (author)
The recent advances in wireless communication, micro-fabrication, and integration have led to the rise of multi-agent networks such as wireless sensor networks, drone swarms, and satellite arrays. These multi-agent networks comprise multiple agents, which cooperate to solve a problem collectively, beyond the individual knowledge of a single...
master thesis 2022
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Wijnands, Ruben (author)
In recent years, the increase in brain research led to the development of large-scale brain imaging techniques. With large-scale brain imaging techniques, such as functional magnetic resonance imaging (fMRI), functional connectivity analyses have shown altered connectivity patterns in humans and mice with neurobiological disorders, such as...
master thesis 2022
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de Vries, Jordi (author)
Being able to estimate atrial tissue conductivity parameters from epicardial electrograms is an important tool in diagnosing and treating heart rhythm disorders such as atrial fibrillation. One of these parameters is the atrial fibre direction, which is often assumed to be known in conductivity estimation methods. In this thesis, a novel method...
master thesis 2022
Searched for: mods_note_programme_s%3A%22Electrical%255C%2BEngineering%255C%2B%257C%255C%2BCircuits%255C%2Band%255C%2BSystems%22
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