The goal of this research is a proposal of a standard model for vehicle system simulations. Recently, the CO 2 reduction and efficiency improvement of the energy consumption are important subjects in development of t...
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The goal of this research is a proposal of a standard model for vehicle system simulations. Recently, the CO 2 reduction and efficiency improvement of the energy consumption are important subjects in development of the vehicle systems. The new technologies related to vehicle development have continued to increase in complexity. For these reasons, the energy management simulation by the coordinated design of an electric system and vehicle system is required. The electrical behavior of the batteries becomes important to improve the energy management in the vehicle systems. The battery modeling technologies and the application example for vehicle system simulation are reported.
Workflow is the technology of implementing automated process. It has a wide use in many fields. The study of workflow engine is a key problem of implement of workflow system. The traditional workflow engine has many l...
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Detecting unknown malicious executables is a challenging task. Traditional anti-virus systems use signatures to detect malicious executables. However, the method cannot detect unseen instances or variants. Inspired by...
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The present work focuses on the problem of aerothermodynamics of space vehicles with rounded edges on the hypersonic segment of the flight trajectory. Firstly, the in-house Navier-Stokes solver, UNIC-UNS code, with th...
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We demonstrate novel cyan light-emitting-diodes (LEDs) on patterned-sapphire substrate with record-high electrical-to-optical bandwidth (0.38 GHz) among visible LEDs. 0.93Gbps error-free transmission in plastic-optica...
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ISBN:
(纸本)9781557529350
We demonstrate novel cyan light-emitting-diodes (LEDs) on patterned-sapphire substrate with record-high electrical-to-optical bandwidth (0.38 GHz) among visible LEDs. 0.93Gbps error-free transmission in plastic-optical-fiber can be achieved by using such device under only 20mA bias current.
The performance of an fingerprint recognition system is measured by its accuracy in recognition. For a feature-based fingerprint recognition system, the accuracy is heavily depend on the chosen feature set. A fingerpr...
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This paper presents a novel scheme for face recognition by fusing local and global discriminant features. It has been observed that facial changes are occurred due to variations in facial expression, illumination cond...
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The object-oriented simulation software of an adaptive optics system is used to evaluate the performance of the adaptive optics system. The software includes distorted wavefront correction and turbulence simulation. A...
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For context based surfing of World Wide Web in a systematic and automatic manner, a web crawler is required. The World Wide Web consists interlinked documents and resources that are easily crawled by general web crawl...
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Finding road intersections in advance is crucial for navigation and path planning of moving autonomous vehicles, especially when there is no position or geographic auxiliary information available. In this paper, we in...
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Finding road intersections in advance is crucial for navigation and path planning of moving autonomous vehicles, especially when there is no position or geographic auxiliary information available. In this paper, we investigate the use of a 3D point cloud based solution for intersection and road segment classification in front of an autonomous vehicle. It is based on the analysis of the features from the designed beam model. First, we build a grid map of the point cloud and clear the cells which belong to other vehicles. Then, the proposed beam model is applied with a specified distance in front of autonomous vehicle. A feature set based on the length distribution of the beam is extracted from the current frame and combined with a trained classifier to solve the road-type classification problem, i.e., segment and intersection. In addition, we also make the distinction between +-shaped and T-shaped intersections. The results are reported over a series of real-world data. A performance of above 80% correct classification is reported at a real-time classification rate of 5 Hz.
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