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Deep-Learning Based Channel Estimation for OFDM Wireless Communications
Multi-carrier technique is a backbone for modern commercial networks. However, the performances of multi-carrier systems in general depend greatly on the qualities of acquired channel state information (CSI). In this paper, we propose a novel deep-learning based processing pipeline to estimate CSI for payload time-frequency resource elements. The proposed pipeline contains two cascaded subblocks,
Seg2Pose: Pose Estimations from Instance Segmentation Masks in One or Multiple Views for Traffic Applications
A system we denote Seg2Pose is presented which converts pixel coordinate tracks, represented by instance segmentation masks across multiple video frames, into world coordinate pose tracks, for road users seen by static surveillance cameras. The road users are bound to a ground surface represented by a number of 3D points and does not necessarily have to be perfectly flat. The system works with one
Implementation of spatially consistent channel models for real-time full stack C-ITS V2X simulations
Vehicle-to-everything (V2X) wireless communication is expected to play a key role in enabling complex Advanced Driving Assistance Applications, including the support of emerging autonomous vehicles. The development of V2X applications, especially safety-related, requires rigorous verification. Field trials, though, have to be supplemented with less expensive and more repeatable methods. Thorough V
Sequential Detection and Estimation of MultipathChannel Parameters Using Belief Propagation
This paper proposes a BP-based algorithm for sequential detection and estimation of MPC parameters based on radio signals. Under dynamic channel conditions with moving transmitter and/or receiver, the number of MPCs reflected from visible geometric features, the MPC dispersion parameters (delay, angle, Doppler frequency, etc), and the number of false alarm contributions are unknown and time-varyin
Geometry-Based Clustering Characteristics for Outdoor Measurements at 28-30 GHz
This paper presents an analysis of channel characteristics for an outdoor scenario at the frequency band of 28-30 GHz. A geometry-based clustering algorithm is proposed to group the measured multipath components (MPCs) based on the interaction points on the surrounding walls or objects obtained from Ray Tracing 3-D simulations, which is more physically interpretable than the traditional clustering
Children’s visual attention to Internet adverts depends on individual level of oculomotor control
A comparative study of scheduling techniques for multimedia applications on SIMD pipelines
Parallel architectures are essential in order to take advantage of the parallelism inherent in streaming applications. One particular branch of these employ hardware SIMD pipelines. In this paper, we analyse several scheduling techniques, namely ad hoc overlapped execution, modulo scheduling and modulo scheduling with unrolling, all of which aim to efficiently utilize the special architecture desi
N400 responses mediated by proficiency rather than age of acquisition in second language learners between 6 and 8 years of age
An experimental evaluation of test driven development vs. test-last development with industry professionals
Test-Driven Development (TDD) is a software development approach where test cases are written before actual development of the code in iterative cycles. Context: TDD has gained attention of many software practitioners during the last decade since it has contributed several benefits to the software development process. However, empirical evidence of its dominance in terms of internal code quality,
Management of Utilization and Accuracy of Positioning Approaches in Wireless Sensor Networks
CRAN-package SpatioTemporal, for estimation and prediction of spatio-temporal models
A Survey on Channel Sounding Technologies and Measurements for UAV-Assisted Communications
Unmanned aerial vehicles (UAVs) have been widely used in both military and civilian applications, where a stable communication link is vital for safe flight control and robust data transmission. To develop a reliable UAV communication system, it is necessary to deeply understand the UAV channel characteristics and establish accurate channel models. Channel sounding is the most effective way to obt
Two millennia of climate change, wildfires, and caribou hunting in west Greenland
Changing climatic conditions is a perpetual circumstance for mankind. In this study, we investigate local environmental and climatic changes near Kangerlussuaq, west Greenland. Our reconstruction is based on a lake sediment core and methods include chemical proxies and a palynological analysis. The investigated site is located 15 km from the Aasivissuit Inuit summer hunting ground, which has been
Supporting Collaborative Healthcare Using PalCom - The itACiH System
Healthcare is increasingly a collaborative effort in- volving caregivers from several different organizations providing services to the same patient. This is particularly the case in care for the elderly and chronically ill, where a preference for care in the home is common. Current systems lack support for care scenarios that require mobility and intra-organizational collaboration. This results i
Knee Injury and Osteoarthritis Outcome Score (KOOS) - Development of a self-administered outcome measure
There is broad consensus that good outcome measures are needed to distinguish interventions that are effective from those that are not. This task requires standardized, patient-centered measures that can be administered at a low cost. We developed a questionnaire to assess short- and long-term patient-relevant outcomes following knee injury, based on the WOMAC Osteoarthritis Index, a literature re
High-accuracy localization for assisted living : 5G systems will turn multipath channels from foe to friend
Asisted living (AL) technologies, enabled by technical advances such as the advent of the Internet of Things, are increasingly gaining importance in our aging society. This article discusses the potential of future high-accuracy localization systems as a key component of AL applications. Accurate location information can be tremendously useful to realize, e.g., behavioral monitoring, fall detectio
Urban plumes - Implications for climate and health
IR in Software Traceability: From a Bird's Eye View
Several researchers have proposed creating after-the-fact structure among software artifacts using trace recovery based on Information Retrieval (IR). Due to significant variation points in previous studies, results are not easily aggregated. Aim. We aim at an overview picture of the outcome of previous evaluations. Method. Based on a systematic mapping study, we perform a synthesis of published r
