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Emergence of flexible electronics technologies has made tractable the ability to develop solutions for integration of electronics for biometric sensing into wearable fabrics. In wearable applications, electronics may be subjected to stresses of daily motion in addition to exposure to human body temperature, and ambient environments. Existing test standards and protocols are geared towards the assessment...
This paper focuses on the color stability degradation analysis and modeling for the commercially available high power warm white phosphor converted LED (pc-LED) packages under both high temperature and high humidity conditions. During the experiment, 3 kinds of different high power pc-LEDs were subjected to both high temperature, and high relative humidity (85°C/85%RH, 75°C/75%RH, 65°C/90%RH) accelerated...
This paper proposes a cross layer routing protocol called CRMBR (Cognitive Radio Mobility Based Routing Protocol.), which operates with Cognitive Radio (CR) Mobile Ad Hoc Networks. In the near future, with the rapid development of hardware and chipset functionality, devices with CR capability will offer promising opportunities within future mobile networks. The new routing protocol exploits the transfer...
The millimeter-wave traffic flow detection radars have been widely used in traffic information collection systems during these years in China. To improve the detection accuracy of the traffic radar sensor, background suppression is of great necessity and importance. In this paper, after analyzing the principles of the millimeter-wave traffic radar sensor and the properties of the echo power, we propose...
Different kinds of warning algorithms were used in the Frontal Collision Warning Systems (FCWS) for threat assessment, which were based on different kinds of kinematics measures of vehicles. In this paper, we discuss the required deceleration warning algorithm in two different situations, and consider a more complicated scenario. Based on field experiment data, we use an experienced driver's action...
Automatic mining of vehicle behaviors from raw data collected by multiple sensors provides meaningful qualitative descriptions of the vehicle status. These qualitative behavior descriptions can be used in scenario parsing and have further applications in vehicle surveillance and frontal collision warning systems. In current approaches, the number of behavior categories is supposed to be known, or...
It is well known that traffic systems are highly nonlinear. Previous research has shown the existence of the chaotic behavior in traffic flow data. However, the corresponding result in individual vehicle behavior has not been investigated. In this paper, we use tools of nonlinear time series analysis to explore the chaotic characteristic from data of individual vehicle behavior in car following. The...
Precise traffic lane boundary identification is the precondition for a good performance of the side-looking traffic flow detection radar. Some approaches have been proposed and developed for this specific purpose. However, these methods either require onerous measurements and prior knowledge, or large amounts of statistics and a long learning duration which cause great difficulties on the practical...
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