This paper proposes an improved intelligent driver model (IDM) by considering the information of multiple front and rear vehicles to describe car-following behaviour CAVs (Connected autonomous vehicles). The involves velocity acceleration as well difference headway between host vehicle its surrounding vehicles. By introducing location-related parameters, quantitatively expresses change in influ...

Background: Black men are disproportionately impacted by prostate cancer (PrCa). Current guidelines recommend that all make informed decisions about whether to be screened for PrCa. Little is known the barriers and facilitators of decision-making (IDM) PrCa screening in men. Methods: We conducted focus groups with a convenience sample aged 55 69 years from primary care practic...

Selecting appropriate and efficient test flow for a 3D Stacked IC (3D-SIC) is crucial for overall cost optimization. This paper presents 3D-COSTAR, a tool that considers costs involved in the whole 3D-SIC chain, including design, manufacturing, test, packaging and logistics (e.g. related to shipping wafers between a foundry and a test house); and provides the estimated overall cost and cost bre...

It is well recognized that advanced filtering and mining in information streams and intelligence bases are of key importance in investigative analysis for countering terrorism and organized crime. As opposed to traditional data mining aiming at extracting knowledge form data, mining for investigative analysis, called Investigative Data Mining (IDM), aims at discovering hidden instances of patte...

Integrated Demand Management (IDM) is a nearto mid-term NASA concept that proposes to address mismatches in air traffic system demand and capacity by using strategic flow management capabilities to pre-condition demand into the more tactical Time-Based Flow Management System (TBFM). This paper describes an automated simulation capability to support IDM concept development. The capability closel...

Existing indoor navigation approaches such as navigation based on 2D geometries and pre-defined routing remain insufficient for many applications such as emergency response, delivery, utility maintenance, facility management and so on. The insufficiencies caused by existing navigation approaches can be overcome by using the advanced geometric and semantic information included in intelligent bui...

Model-Driven engineering (MDE) aims to elevate models in the engineering process to a central role in the speciication, design, integration, validation, and operation of a system. MDE is becoming a widely used approach within the dependability domain: the system, together with its main dependability-related characteristics, is represented by engineering language models, while automatic transfor...

OBJECTIVES To analyze the texture features on cranial sonography in preterm neonates with white matter injury quantitatively and to correlate these features with magnetic resonance imaging (MRI). METHODS The study included 33 preterm neonates treated in our neonatal intensive care unit who underwent serial cranial sonography and brain MRI near term. Patients were subdivided into 3 groups acco...

Reliable and comparable quantification methods are needed for assessing the effectiveness of biogas production utilisation process in mitigating methane (CH4) emissions as well improving database emission inventories. The objective this study was to compare validate CH4 quantified at two agricultural plants, up three days, using diverse on-site (two teams) off-site (three teams), including diff...