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Pedestrian detection is paramount for advanced driver assistance systems (ADAS) and autonomous driving. As a key technology in computer vision, it also finds many other applications, such as security and surveillance etc. Generally, pedestrian detection is conducted for images in visible spectrum, which are not suitable for night time detection. Infrared (IR) or thermal imaging is often adopted for...
With a growing amount of data, a viable solution is to use a cluster consisting of a large of computers for parallel processing, and Hadoop parallel computing platform is a typical representative. Clustering analysis for time series data is one of the main methods mining time series data, however, general clustering algorithms can't perform clustering for time series data directly since series data...
A synchronous demodulation algorithm based on energy operator for satellite-based AIS signals is proposed. Firstly, the baseband signal is obtained by differencing the intermediate frequency signal and estimating the envelope with energy operator. Bit synchronization and decision are achieved by applying the maximum measurement method which selects the best set of samples with the maximum energy....
The recent development on network coding techniques has attracted much attention, with their demonstrated potentials in improving network capacity and reliability, particularly in wireless networks with broadcast capability. While most studies have focused on designing efficient algorithms and protocols to exploit the benefits at lower layers, i.e., the link layer and network layer, we reveal the...
Based on considering the CODEC frame duration, this paper proposes a superior uplink scheduling algorithm that can efficiently support multiple DTX VoIP CODECs over M-WiMAX, and be able to facilitate the uplink resource wastes during silence period and optimize the system VoIP capacity. The BS uplink resource allocation procedure is planned and adapted according to the reserved bit in the Bandwidth...
This paper proposes an efficient uplink scheduling algorithm that can perfectly support various VoIP CODECs with VAD/DTX/CNG in M-WiMAX considering the variants of silence duration between different voice users, solving the problems of uplink resources wastes and overwhelmingly large overhead that caused during silence period. In our proposed algorithm, efficient schemes is proposed to implement the...
Performance of analog circuits is highly sensitive to layout parasitics. This paper presents an improved algorithm that automatically conducts performance-constrained parasitic-aware retargeting and optimization of analog layouts. In order to meet the desired circuit specification, performance sensitivities with respect to layout parasitics are first determined. Then the algorithm applies sensitivity-based...
In order to reduce the influence of the jitter of hard real-time task caused by scheduling to the stability and reliability of device-level operation system, a model with preemption segment threshold-RJPS is presented. According to the effect on jitter and latency brought by threshold and the analysis of the scheduling on this model, two minimum threshold assigned algorithms are designed. One of them...
Wireless mesh networks have promised to provide high-speed access for residential or mobile customers. And concurrent transmission is an effective way to enhance system throughput in wireless mesh networks. The objective of this paper is to provide an effective concurrent transmission method to enlarge throughput with specific QoS fairness guarantee in wireless mesh networks. Firstly, link relationship...
Slide mode variable structure control method is used for designing a digital controller of BLDC electric actuator in this paper. Firstly, the mathematic model of electric actuator is built according to the selected BLDC motor. Secondly, two slide mode algorithms, proportion switching algorithm and velocity trending law algorithm, are designed for the electric actuation system. Thirdly, we design a...
We study the problem of detecting the shape anomalies in this paper. Our shape anomaly detection algorithm is performed on the one-dimensional representation (time series) of shapes, whose similarity is modeled by a generalized segmental hidden Markov model (HMM) under a scaling, translation and rotation invariant manner. Experimental results show that our proposed approach can find shape anomalies...
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