11 research outputs found
A map matching method for GPS based real-time vehicle location
Accurate vehicle location is essential for various applications in the field of intelligent transportation systems (ITS). Existing vehicle location systems rely on multiple positioning sensors and powerful computing devices to execute complex map matching algorithms. There exists a strong need for exploring a solution for vehicle location that relies on a GPS receiver as the sole means of positioning and does not require complex computations. Towards this end, the error characteristics of the GPS signal were studied through the analysis of GPS data collected during test drives. Based on the inferences drawn and a simple fuzzy rule set, a novel yet simple map matching algorithm was developed. Due to the difficulties in testing the algorithm through on-road trials, a simulation environment that is capable of reproducing the field conditions in the laboratory was developed. Simulation results confirm that the proposed algorithm overcomes many of the inadequacies of the existing methods and is capable of achieving high accuracy with minimal computational requirements.Published versio
Study on Embedded Vehicle Dynamic Location Navigation Supported by Network and Route Availability Model
Integrated tracking and route classification for travel time estimation based on cellular network signalling data
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Sensitive and specific multi-cancer detection and localization using methylation signatures in cell-free DNA
Early cancer detection could identify tumors at a time when outcomes are superior and treatment is less morbid. This prospective case-control sub-study (from NCT02889978 and NCT03085888) assessed the performance of targeted methylation analysis of circulating cell-free DNA (cfDNA) to detect and localize multiple cancer types across all stages at high specificity.The 6689 participants [2482 cancer (>50 cancer types), 4207 non-cancer] were divided into training and validation sets. Plasma cfDNA underwent bisulfite sequencing targeting a panel of >100 000 informative methylation regions. A classifier was developed and validated for cancer detection and tissue of origin (TOO) localization.Performance was consistent in training and validation sets. In validation, specificity was 99.3% [95% confidence interval (CI): 98.3% to 99.8%; 0.7% false-positive rate (FPR)]. Stage I–III sensitivity was 67.3% (CI: 60.7% to 73.3%) in a pre-specified set of 12 cancer types (anus, bladder, colon/rectum, esophagus, head and neck, liver/bile-duct, lung, lymphoma, ovary, pancreas, plasma cell neoplasm, stomach), which account for ∼63% of US cancer deaths annually, and was 43.9% (CI: 39.4% to 48.5%) in all cancer types. Detection increased with increasing stage: in the pre-specified cancer types sensitivity was 39% (CI: 27% to 52%) in stage I, 69% (CI: 56% to 80%) in stage II, 83% (CI: 75% to 90%) in stage III, and 92% (CI: 86% to 96%) in stage IV. In all cancer types sensitivity was 18% (CI: 13% to 25%) in stage I, 43% (CI: 35% to 51%) in stage II, 81% (CI: 73% to 87%) in stage III, and 93% (CI: 87% to 96%) in stage IV. TOO was predicted in 96% of samples with cancer-like signal; of those, the TOO localization was accurate in 93%.cfDNA sequencing leveraging informative methylation patterns detected more than 50 cancer types across stages. Considering the potential value of early detection in deadly malignancies, further evaluation of this test is justified in prospective population-level studies.•Targeted methylation analysis of cfDNA simultaneously detected and localized >50 cancer types, including high-mortality cancers that lack screening paradigms.•Cancers were detected across all stages (stage I–III sensitivity: 43.9%; stage I–IV sensitivity: 54.9%) at a specificity of >99% and a single false positive rate of 90% accuracy, which will be critical for directing follow-up care.•This supports the continued investigation of this test with the goal of population-scale early multi-cancer detection
Shock wave physics and detonation physics – a stimulus for the emergence of numerous new branches in science and engineering
In the period of the Cold War (1945−1991), Shock Wave Physics and Detonation Physics
(SWP&DP) – until the beginning of WWII mostly confined to gas dynamics, high-speed
aerodynamics, and military technology (such as aero- and terminal ballistics, armor
construction, chemical explosions, supersonic gun, and other firearms developments) –
quickly developed into a large interdisciplinary field by its own. This rapid expansion
was driven by an enormous financial support and two efficient feedbacks: the
Terminal Ballistic Cycle and the Research &
Development Cycle. Basic knowledge in SWP&DP, initially gained
in the Classic Period (from 1808) and further extended in the
Post-Classic Period (from the 1930s to present), is now increasingly
used also in other branches of Science and Engineering (S&E). However, also
independent S&E branches developed, based upon the fundamentals of SWP&DP,
many of those developments will be addressed (see Tab. 2). Thus, shock wave and detonation
phenomena are now studied within an enormous range of dimensions, covering microscopic,
macroscopic, and cosmic dimensions as well as enormous time spans ranging from
nano-/picosecond shock durations (such as produced by ultra-short laser pulses) to shock
durations that continue for centuries (such as blast waves emitted from ancient supernova
explosions). This paper reviews these developments from a historical perspective