Blar i Institutt for elektroniske systemer på dokumenttype "Chapter"
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Machine Learning-based Occupancy Estimation Using Multivariate Sensor Nodes
(Chapter, 2019)In buildings, a large chunk of energy is spent on heating, ventilation and air conditioning systems. One way to optimize their usage is to make them demand-driven depending on human occupancy. This paper focuses on accurately ... -
Modified Current-reuse OTA to Achieve High CMRR by utilizing Cross-coupled Load
(Chapter; Peer reviewed, 2019)Since biomedical signals have very low amplitude and high common-mode like environmental noise, the amplifiers used with these signals should have high CMRR. The cross-coupled amplifier attenuates common-mode signal strongly ... -
MOOC dropout prediction using machine learning techniques: Review and research challenges
(Chapter, 2018)MOOC represents an ultimate way to deliver educational content in higher education settings by providing high-quality educational material to the students throughout the world. Considering the differences between traditional ... -
Moreau envelope ADMM for decentralized weakly convex optimization
(Chapter, 2023)This paper proposes a proximal variant of the alternating direction method of multipliers (ADMM) for distributed optimization. Although the current versions of ADMM algorithm provide promising numerical results in producing ... -
Narrative’s Impact on Quality of Experience in Digital Storytelling
(Chapter, 2019)Our ways of telling stories have evolved along with advances in technology. This has led to the emergence of digital storytelling. This project explores narrative influences on Quality of Experience of users in digital ... -
Navigation of UAV using Phased Array Radio
(Chapter; Peer reviewed, 2017)Navigation and communication are two of the major challenges when flying unmanned aerial vehicles (UAVs) beyond visual line of sight (BVLOS), in particular when Global Navigation Satellite Systems (GNSS) are unavailable. ... -
Nwise: an Area Efficient and Highly Reliable Radiation Hardened Memory Cell Designed for Space Applications
(Chapter, 2019)In the electronics space industry, memory cells are one of the main concerns, especially in term of reliability, since radiation particles may hit cell nodes and disturb the state of the cell, possibly causing fatal errors. ... -
On Path Length Estimation for Wireless Capsule Endoscopy
(Chapter, 2018)Wireless capsule endoscopy (WCE) is a non-invasive technology used for inspection of the gastrointestinal tract. Localization of the capsule is a vital part of the system enabling physicians to identify the position of ... -
Optimal scheduling of multiple spatio-temporally dependent observations using age-of-information
(Chapter, 2020)This paper proposes an optimal scheduling policy for a remote estimation problem, where spatio-temporally dependent sensor observations are broadcasted to remote estimators. At each time instant only observations from a ... -
Optimal Scheduling Policy for Spatio-temporally Dependent Observations using Age-of-Information
(Chapter, 2020)This paper proposes an optimal scheduling policy for a remote estimation problem, where sensor observations of two spatio-temporally correlated processes are broadcasted to two remote estimators. At each time instant only ... -
Optimization Strategy for Energy Allocation through Cooperative Storage Management
(Chapter, 2021)We propose a strategy to optimize energy utilization through battery management in a cooperative environment where households share access to a community-owned energy farm. The households are equipped with lossy rechargeable ... -
Performance Analysis of Single Coreshell Magnetoelectric Microdevice for Electrical Stimulation
(Chapter, 2022)Electrical stimulation of biological cells and tissues is an established technique to stimulate cells such as neurons and cardiomyocytes to enable the treatment of some disorders like Parkinson’s disease, cardiac arrhythmias, ... -
Performance of ALOHA and CSMA in Spatially Distributed Wireless Networks
(Chapter, 2008) -
A Power Efficient, High Gain and High Input Impedance Capacitively-coupled Neural Amplifier
(Chapter, 2020)In this article, a capacitively-coupled neural amplifier based on a new high gain low-noise amplifier is proposed. By utilizing a cross-coupled structure, the open-loop gain of the amplifier is boosted. This modification ... -
Price-aware renewable energy management with transmission losses
(Chapter, 2019)In this paper we propose a genie-aided strategy to optimize the use of renewable energy (RE) in a community of households with shared access to storage and RE generation facilities. The households are spread over a limited ... -
Privacy-Preserving Distributed Learning with Nonsmooth Objective Functions
(Chapter, 2021)This paper develops a fully distributed differentially-private learning algorithm based on the alternating direction method of multipliers (ADMM) to solve nonsmooth optimization problems. We employ an approximation of the ... -
Privacy-preserving distributed precoder design for decentralized estimation
(Chapter, 2018)We study privacy-preserving precoder design for decentralized estimation in wireless sensor networks where the sensor nodes want their local information such as the channel state information, observation matrices, and ...