Blar i Institutt for elektroniske systemer på dokumenttype "Peer reviewed"
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A Comparative Study of Deep Learning Techniques on Frame-Level Speech Data Classification
(Journal article; Peer reviewed, 2019)This paper provides a comprehensive analysis of the effect of speaking rate on frame classification accuracy. Different speaking rates may affect the performance of the automatic speech recognition system yielding poor ... -
A Dynamic Channel Model for Indoor Wireless Signals: Working Around Interference Caused by Moving Human Bodies
(Journal article; Peer reviewed, 2018)The use of indoor wireless devices has substantially increased in recent years. This escalation is due to the expansion of traditional communication devices, such as mobile phones and laptop computers, to less traditional ... -
A fully differential capacitively-coupled high CMRR low-power chopper amplifier for EEG dry electrodes
(Journal article; Peer reviewed, 2020)The use of dry electrodes is increasing rapidly. Since their impedance is high, there is a high impedance node at the connecting node between the electrode and amplifier. This leads to absorb powerline signal and high CMRR ... -
A loadless 6T SRAM cell for sub- & near- threshold operation implementedin 28 nm FD-SOI CMOS technology
(Journal article; Peer reviewed, 2018)Most ultra low power SRAM cells operating in the sub and near threshold region deploy 8 or more transistors per storage cell to ensure stability. In this paper we propose and design a low voltage, differential write, single ... -
A low‐cost and efficient autonomous row‐following robot for food production in polytunnels
(Journal article; Peer reviewed, 2019)In this paper, we present an automatic motion planner for agricultural robots that allows us to set up a robot to follow rows without having to explicitly enter waypoints. In most cases, when robots are used to cover large ... -
A Parallel FPGA Implementation of the CCSDS-123 Compression Algorithm
(Journal article; Peer reviewed, 2019)Satellite onboard processing for hyperspectral imaging applications is characterized by large data sets, limited processing resources and limited bandwidth of communication links. The CCSDS-123 algorithm is a specialized ... -
A random forest-based method for selection of regions of interest in hyperspectral images of ex vivo human skin
(Journal article; Peer reviewed, 2019)Hyperspectral imaging is a useful tool for characterization of human tissue. However, the vast amount of data created makes it challenging and tedious to manually select spatial regions of interest for further processing. ... -
A Review of Optical Methods for Continuous Glucose Monitoring
(Journal article; Peer reviewed, 2018)Frequent glucose monitoring is a fundamental part of diabetes management, and good glucose control is important for long-term health outcomes. New types of electrochemical sensors that allow for continuous glucose monitoring ... -
A Review of the Current Challenges Associated with the Development of an Artificial Pancreas by a Double Subcutaneous Approach
(Journal article; Peer reviewed, 2017)Introduction Patients with diabetes type 1 (DM1) struggle daily to achieve good glucose control. The last decade has seen a rush of research groups working towards an artificial pancreas (AP) through the application of a ... -
A Review of the Role of Critical Parameters in the Design and Operation of Biogas Production Plants
(Journal article; Peer reviewed, 2019)Many operating parameters, individually or together, may influence the performance of anaerobic digestion towards biogas or digestate yield and quality maximization. The most preferred method of optimizing an anaerobic ... -
A Single Point, Multi-Parameter, Fiber Optic Sensor Based on a Combination of Interferometry and LSPR
(Journal article; Peer reviewed, 2018)We demonstrate a new single point, multi-parameter, fiber optic sensor concept based on a combination of interferometric and plasmonic sensor modalities on an optical fiber end face. The sensor consists of an extrinsic ... -
A-me and BrainCloud: Art-Science Interrogations of Localization in Neuroscience
(Journal article; Peer reviewed, 2016)This article reports on two art-science collaborations, A-me: Augmented Memories and BrainCloud, that interrogate the central role of localization in neuroscience—including the use of technologies that augment sociability ... -
Abnormal Colon Polyp Image Synthesis Using Conditional Adversarial Networks for Improved Detection Performance
(Journal article; Peer reviewed, 2018)One of the major obstacles in automatic polyp detection during colonoscopy is the lack of labeled polyp training images. In this paper, we propose a framework of conditional adversarial networks to increase the number of ... -
Academics' perception of systems engineering and applied research projects
(Peer reviewed; Journal article, 2021)There is an increased complexity in applied research projects that demand more researcher skills, especially in managing the research project and interdisciplinary work. Researchers receive little training in how to manage ... -
Achieving Fair Spectrum Allocation and Reduced Spectrum Handoff in Wireless Sensor Networks: Modeling via Biobjective Optimization
(Journal article; Peer reviewed, 2014)This paper considers the problem of centralized spectrum allocations in wireless sensor networks towards the following goals: (1) maximizing fairness, (2) reflecting the priority among sensor data, and (3) avoiding unnecessary ... -
Acoustic multipole sources for the lattice Boltzmann method
(Journal article; Peer reviewed, 2013)By including an oscillating particle source term, acoustic multipole sources can be implemented in the lattice Boltzmann method. The effect of this source term on the macroscopic conservation equations is found using a ... -
Acoustic signals in air and water generated by very shallow marine seismic sources: An experimental study
(Peer reviewed; Journal article, 2020)When a marine seismic source, like an airgun, is fired close to the water surface the oscillating bubble interacts with the water–air interface. The main interest for seismic applications is how this effect impacts the ... -
Acoustic-to-Articulatory Mapping With Joint Optimization of Deep Speech Enhancement and Articulatory Inversion Models
(Journal article; Peer reviewed, 2021)We investigate the problem of speaker independent acoustic-to-articulatory inversion (AAI) in noisy conditions within the deep neural network (DNN) framework. In contrast with recent results in the literature, we argue ... -
Acoustically induced cavity cloud generated by air-gun arrays—Comparing video recordings and acoustic data to modeling
(Journal article; Peer reviewed, 2018)For seismic air-gun arrays, ghost cavitation is assumed to be one of the main mechanisms for high-frequency signal generation. Ghost cavitation signals are weak for seismic frequencies (<300 Hz) and do not contribute to ... -
Acoustooptic characterization of a birefringent two-mode photonic crystal fiber
(Journal article; Peer reviewed, 2006)The effect of axial variations in acoustooptic phase-mismatch coefficient of a two-mode birefringent photonic crystal fiber (PCF) is studied experimentally using two different methods. The first method is to determine axial ...