The capability of anti-islanding protection is a very important requirement for distributed generators (DG). A power line signaling based scheme for anti-islanding protection has been proposed in a companion paper. In...
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ISBN:
(纸本)9781424445080;9781424445097
The capability of anti-islanding protection is a very important requirement for distributed generators (DG). A power line signaling based scheme for anti-islanding protection has been proposed in a companion paper. In the scheme, a signal generated by power electronics is injected from a central upstream location to the DG sites. The lack of a signal at the DG site indicates that the DG is islanded. This paper is a summarization of extensive field test for the proposal. Two proposed detection algorithms have been verified, the impact of firing angles on signal strength have been determined and the effect of power system frequency drift have been analyzed. The test results proved that the proposed scheme is promising for the anti-islanding protection of distributed generator.
Lane departure warning Systems (LDWS) have recently become an integral part of many advance vision-based drive assistance systems. However, high cost and the requirement of professional installation have limited such ...
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Lane departure warning Systems (LDWS) have recently become an integral part of many advance vision-based drive assistance systems. However, high cost and the requirement of professional installation have limited such systems to mostly commercial or luxury vehicles. To help bring the technology to the mainstream market, we have leveraged the popularity of smart phones and built SmartLDWS, the first LDWS that runs on these devices. SmartLDWS employs a novel lane detection algorithm that is both robust and scalable to overcome poor camera quality and limited processing power faced by most smart phones. Experimental results show that the system performs reliably with extremely low false-positive under different weather and lighting conditions, detecting various types of lane markings at over 30 fps.
This paper presents a novel lane edge feature extraction algorithm based on digital interpolation. Zooming towards the vanishing point of the lanes creates a visual effect of driving. The positions of the lanes should...
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ISBN:
(纸本)9781617388767
This paper presents a novel lane edge feature extraction algorithm based on digital interpolation. Zooming towards the vanishing point of the lanes creates a visual effect of driving. The positions of the lanes should not change significantly on the image plane while the vehicle is moving along the lanes. Considering the position information, more accurate lane features can be extracted. A gradient based vanishing point detection algorithm is incorporated to select the zooming area. The proposed algorithm shows outstanding performance on extracting features belonging solely to the lanes from severe noise environment. The algorithm is capable of removing non-relevant features produced by shadows, other vehicles, trees, buildings etc. The extracted feature map was tested with a classic lane detection algorithm, used in LOIS system. The detection results show that the improved feature map is an important factor to the performance of the whole system.
The key of intelligent infusion system is to detect liquid level of infusion bottle fast and accurately. We proposed an automatic detection algorithm of liquid level of infusion bottle based on image processing, by de...
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ISBN:
(纸本)9781424449934
The key of intelligent infusion system is to detect liquid level of infusion bottle fast and accurately. We proposed an automatic detection algorithm of liquid level of infusion bottle based on image processing, by designing edge detection, binarization, filtering, image projection and motion detection to realize automatic liquid level detection. The algorithm has the advantages of stable noise-resistance, rapidity and simplicity, etc. Experimental results of the algorithm show that the algorithm is effective and feasible.
Music transcription consists in transforming the musical content of audio data into a symbolic representation. The objective of this study is to investigate a transcription system for polyphonic piano. The proposed me...
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Music transcription consists in transforming the musical content of audio data into a symbolic representation. The objective of this study is to investigate a transcription system for polyphonic piano. The proposed method focuses on temporal musical structures, note events and their main characteristics: the attack instant and the pitch. Onset detection exploits a time-frequency representation of the audio signal. Note classification is based on constant Q transform (CQT) and support vector machines (SVMs). Finally, to validate our method, we present a collection of experiments using a wide number of musical pieces of heterogeneous style.
This paper proposes a novel method to detect fire and/or smoke in real-time by processing the video data generated by an ordinary camera monitoring a scene. The objective of this work is recognizing and modeling fire ...
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This paper proposes a novel method to detect fire and/or smoke in real-time by processing the video data generated by an ordinary camera monitoring a scene. The objective of this work is recognizing and modeling fire shape evolution in stochastic visual phenomenon. It focuses on detection of fire in image sequences by applying a new hybrid algorithm that depends on optimizing the back-propagation algorithm, after canny edge detection, for determining the smoke and fire boundaries. Another clue is used in the fire detection algorithm that detects smoke and fire flicker by analyzing the video in the wavelet domain. Color variations in flame regions are detected by computing the spatial wavelet transform of moving fire-colored regions. Experimental results show that the proposed algorithm is very successful in detecting fire and/or smoke.
Outlier detection is one of the common tasks in engineering applications. Its aim is to identify uncommon records from large amounts of data. Many efforts have been done to reach this goal. But different approach shou...
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Outlier detection is one of the common tasks in engineering applications. Its aim is to identify uncommon records from large amounts of data. Many efforts have been done to reach this goal. But different approach should be introduced according to different application area. In some engineering cases, much frequency uncommon records may appear in a short time. In this paper, a new method is put forward to identify these uncommon records. This method is constructed based on density-based outlier discovering method. In this method, a ratio factor is used to illustrate the high-density percentage of all records. If the ratio is under a threshold the high-density records would be considered as outlier, otherwise these records would be considered as normal. Experiments show this method could effectively discovery these rare high-density data.
Watermarking for 3D models is a challenging topic in the research of watermarking. Difficulties came up on maintaining pretty robustness and implementing blind detection of watermarks in previous related work. In orde...
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Watermarking for 3D models is a challenging topic in the research of watermarking. Difficulties came up on maintaining pretty robustness and implementing blind detection of watermarks in previous related work. In order to enhance the robustness and achieve blind detection, this paper proposed a novel blind watermarking algorithm for 3D models based on the triangular meshes in the local space. The scheme embedded the watermark by modifying the location of vertices within their related space. With this approach, watermarks could be detected without the original model. Experimental results showed that the algorithm guaranteed both satisfactory visual quality and robustness, with good performance against various attacks such as translation, rotation, scaling, model cropping, vertex permutation, etc.
The data set of scientific literature contains abundant knowledge. Currently, most bibliography search engines provide only keyword search or similarity search functions for retrieving information directly stored in t...
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ISBN:
(纸本)9781424449095
The data set of scientific literature contains abundant knowledge. Currently, most bibliography search engines provide only keyword search or similarity search functions for retrieving information directly stored in the database but neglect mining hidden information. In this article, we design a visual analytic tool called LiterMiner to extract entities such as article, author, affiliation, and keyword from these literature records, establish the relationships among them and display them to help analyst understand them effectively. Especially, LiterMiner uses community detection algorithm to explore academic teams. Our tool has three principle features. First, a sophisticated data clean process is designed for integration of many different formatted literature records. Second, LiterMiner can find academic teams and analyze the resume of an academic team. Third, an interactive and cooperate visualization solution is used to display the analysis result, which help user understand the result better.
Cloning in source code is a well known quality defect that negatively affects software maintenance. In contrast, little is known about cloning in requirements specifications. We present a study on cloning in 11 real-w...
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ISBN:
(纸本)9781424448425
Cloning in source code is a well known quality defect that negatively affects software maintenance. In contrast, little is known about cloning in requirements specifications. We present a study on cloning in 11 real-world requirements specifications comprising 2,500 pages. For specification clone detection, an existing code clone detection tool is adapted and its precision analyzed. The study shows that a considerable amount of cloning exists, although the large variation between specifications suggests that some authors manage to avoid cloning. Examples of frequent types of clones are given and the negative consequences of cloning, particularly the obliteration of commonalities and variations, are discussed.
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