Searched for: mods_note_programme_s%3A%22Electrical%255C+Engineering%255C+%257C%255C+Circuits%255C+and%255C+Systems%22
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Cavalini, Ricardo (author), Hassan, Ibrahim (author), Pouwels, Thomas (author)
This report entails one of two subsystems in a joint project to provide a web-based platform for smartwatch data acquisition, for applications in healthcare. In this work, we design and implement algorithms for human activity recognition using various machine learning approaches and test them on data acquired online as well as using our own...
bachelor thesis 2022
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Admiraal, Arthur (author), Verdoes, Bas (author)
Current subsea LiDAR implementations are inherently depth limited, and make LiDAR applications in the deep-sea costly. To this end, the SLiDAR project aims to develop a pressure tolerant LiDAR system for use at any ocean depth. This thesis elaborates the high-level system design of the LiDAR system, as well as the design and implementation of...
bachelor thesis 2019
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Timmer, Thijs (author), van Wingerden, Quinten (author)
This Bachelor graduation project has the goal to create a device which is able of automatic volume control, to be used for enhancing speech intelligibility. To tackle the intelligibility of speech through Public Address Systems (PA Systems), an Intelligibility-Enhancing Automatic Volume Control system was proposed. The total system to be made...
bachelor thesis 2019
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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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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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Kshirasagar, Shreya Sanjeev (author)
As we move towards edge computing, not only low power but concurrently, critical timing is demanded from the underlying hardware platform. Spiking neural networks ensure high performance and low power when run on specialized architectures like neuromorphic hardware. However, the techniques in use to configure these neural networks on massively...
master thesis 2021
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Zhang, Shizhao (author)
This thesis proposes a low-cost high-efficiency source-synchronous interface for high-speed inter-chip communication. The interface is composed of LVDS transceivers as external I/O buffers, and an all-digital data recovery, which can calibrate the received data phase to be aligned to the 90<sup>◦</sup> phase of the received half-rate reference...
master thesis 2017
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Vyas, Rahul (author)
Autonomous vehicle (AV technology) relies heavily on vision based applications like object recognition, obstacle/collision avoidance etc. In order to achieve this, understanding and estimating the dynamics in the environment is extremely important. LIDARs are proven to detect both shape as well as the speed/movement of the objects in the scene...
master thesis 2019
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Das, Bishwadeep (author)
In statistical learning over large data-sets, labeling all points is expensive and time-consuming. Semi-supervised classification allows learning with very few labels. Naturally, selecting a few points to label becomes crucial as the performance relies heavily on the labeled points. The motivation behind active learning is to build an optimal...
master thesis 2019
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Marigi Rajanarayana, Shashanka (author)
Convolution Neural Networks (CNN) are used in many applications ranging from real-time object detection to robot-motion planning. CNNs are implemented on high-performance systems like multi-core CPU and GPU, these are of high power in nature and thus cannot be deployed in edge devices due to their limited battery power. The edge device has to...
master thesis 2019
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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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Riemens, Ellen (author)
Loudspeakers are placed in an environment unknown to the loudspeaker designers. The room influences the acoustic experience for the user. Having information about the room makes it possible to better reproduce the sound field as intended. Using microphone measurements, the location of acoustic reflectors can be inferred. Current state-of-the-art...
master thesis 2021
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Kleijweg, Zep (author)
The recently introduced posit number system was designed as a replacement for IEEE 754 floating point, to alleviate some of its shortcomings. As the number distribution of posits is similar to the data distributions in deep neural networks (DNNs), posits offer a good alternative to fixed point numbers in DNNs: using posits can result in high...
master thesis 2021
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Kou, Lantian (author)
The particle filter (PF) algorithm is appropriate to solve the problem of speaker tracking in a reverberant and noisy environment using distributed pairwise microphone networks. First, complete the tracking task based on PF algorithm in centralized manner, a processing center is required to collect the signal from all microphones to carry out...
master thesis 2019
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Bologni, Giovanni (author)
Acoustic room geometry estimation is often performed in ad hoc settings, i.e., using multiple microphones and sources distributed around the room, or assuming control over the excitation signals. To facilitate practical applications, we propose a fully convolutional network (FCN) that localizes reflective surfaces under the relaxed assumptions...
master thesis 2020
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Papadakis, Manolis (author)
Biometrics authentication has been very useful and necessary nowadays due to the great developments in technology and the transaction of huge amounts of sensitive data on a daily basis. Traditionally, access to some data or service is achieved by means of some documents or a password. However, these methods are not very convenient. Alternatively...
master thesis 2019
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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, Bichi (author)
In recent decades, the field of autonomous driving has witnessed rapid development, benefiting from the development of artificial intelligence-related technologies such as machine learning. Autonomous perception in driving is a key challenge, in which multi-sensor fusion is a common feature. Due to the high resolution and rich information, the...
master thesis 2021
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Lauriks, Joppe (author)
Spiking Neural Networks have opened new doors in the world of Neural Networks. This study implements and shows a viable architecture to detect and classify blob-like input data. An architecture consisting of three parts a region proposal network, weight calculations, and the classifier is discussed and implemented. The region proposal network is...
master thesis 2019
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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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