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Providing information security is crucial for the Internet of Things (IoT) devices, platforms in which the available power budget is very limited. This paper tackles this challenge and presents a cryptographic processor compliant with the security algorithms specified by the 3rd Generation Partnership Project (3GPP) Long Term Evolution (LTE) NarrowBand IoT (NB-IoT) standard. The proposed processor

The goal of this Master’s Thesis is to investigate the implementation of cryptographic algorithms for IoT and how these encryption systems can be integrated in a NarrowBand IoT platform. Following 3rd Generation Partnership Project (3GPP) specifications, the Evolved Packet System (EPS) Encryption Algorithms (EEA) and EPS Integrity Algorithms (EIA) have been implemented and tested. The latter are b

This paper presents a cryptographic processor compliant with the security algorithms specified by the 3rd Generation Partnership Project (3GPP) specifications for Long Term Evolution (LTE). The proposed processor has been adapted to the needs of the low end portfolio technologies that compose the Internet of Things (IoT) market, which addresses low-Area, low-cost and low-data rate applications. Th

Speckle is an unwanted noise in ultrasound images, and appears as returning echoes are coherently summed over the transducer surface. In Doppler applications, the total power of the received spectrum varies in a manner similar to speckle. This paper investigates the correlation of continuous-wave (CW) Doppler signals obtained from simultaneously transmitted carrier frequencies, when a slowly flowi

Signals of Opportunity Reflectometry (SoOp-R) employs the communication system, GNSS (Global Navigation Satellite System) constellation and other potential Signals of Opportunity (SoOp) as the transmitters. In recent years, it has gained increased interests. Several experiments have been carried out, however it is still in the initial development stage. Theoretical predictions of SoOp Reflectometr

In this paper a multichannel subspace detector is proposed based on a separable spatio-temporal linear model. The generalized likelihood ratio test (GLRT) for this model is derived for the case of coloured Gaussian noise and known temporal and covariance matrices. Simulation results support the theory and illustrate the benefits of the spatio-temporal detector versus channel-by-channel detectors f

LU Holding AB 556500-1467 Box 117, SE - 221 00 Lund, Sweden, Visiting address The Spark, Medicon village, Scheeletorget 1, Lund Telephone +46 46-222 00 00 Internet www.innovation.lu.se 1 AÅ rsredovisning för LU Holding AB 556500-1467 Räkenskapsåret 2020-01-01 – 2020-12-31 Transaktion 09222115557446406774 Signerat BA, JA, SF, BN, HP, CW, CE, UR, ST, LW, ME LU Holding AB 556500-1467 Box 117, SE -

https://www.innovation.lu.se/sites/innovation.lu.se/files/2021-08/LU%20Holding%20a%CC%8Arsredovisning%202020.pdf - 2026-06-30

Cardiovascular disease such as heart attack, stroke, and peripheral vascular disease, is the number-one health problem in the world. Despite remarkable progress in diagnosis and prevention, cardiovascular diseases cause disability and death at an astounding rate. The best opportunity to develop and implement new strategies for preventing and treating cardiovascular disease lies in the understandin

Many modern office buildings have highly glazed facades. Their energy efficiency and indoor climate is, however, being questioned. Therefore more and more of these buildings are being built with double skin facades, which can provide: a thermal buffer zone, energy savings, wind protection with open windows, fire protection, aesthetics, solar preheating of ventilation air, sound protection, polluta

Background: Continuous monitoring of intracranial pressure (ICP) was introduced in the 1950s. For correct ICP recordings, the zero-reference point for the external pressure gauge must be placed next to a head anatomical structure. We evaluated different anatomical points as zero reference for the ICP device at different head positions and their relation to brain centre (BC), foramen of Monro (Monr

In this work, we consider the modeling of signals that are almost, but not quite, harmonic, i.e., composed of sinusoids whose frequencies are close to being integer multiples of a common frequency. Typically, in applications, such signals are treated as perfectly harmonic, allowing for the estimation of their fundamental frequency, despite the signals not actually being periodic. Herein, we provid

The requirements on the data rates of communication systems increase roughly an order of a magnitude at each new generation. This increase can be especially noticeable for the new centralized radio access networks (C-RAN) scenarios, considered for meeting the requirements of the fifth generation (5G) wireless systems. The general C-RAN architecture normally assumes data transmission in the form of

Nuclear Quadrupole Resonance (NQR) is a method of de- tection and unique characterization of compounds containing quadrupolar nuclei, commonly found in many forms of ex- plosives, narcotics, and medicines. Typically, multi-pulse sequences are used to acquire the NQR signal, allowing the resulting signal to be well modeled as a sum of exponentially damped sinusoidal echoes. In this paper, we improv

In this work, we propose a novel multi-pitch estimation technique that is robust with respect to the inharmonicity commonly occurring in many applications. The method does not require any a priori knowledge of the number of signal sources, the number of harmonics of each source, nor the structure or scope of any possibly occurring inharmonicity. Formulated as a minimum transport distance problem,

This paper proposes an iterative algorithm to reconstruct missing samples from non-stationary signals. The proposed algorithm is based on the well-known amplitude-modulation frequency-modulation model for non-stationary signals. The method initially estimates the instantaneous frequencies of the observed multi-component signal. The estimated IFs are then used to de-chirp the corresponding componen

Locally Stationary Processes (LSPs) in Silverman’s sense, defined by the modulation in time of a stationary covariance function, are valuable in stochastic modelling of time-varying signals. However, for practical applications, methods to conduct reliable parameter inference from measured data are required. In this paper, we address the lack of suitable methods for estimating the parameters of the