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We always use CAPTCHA(Completely Automated Public Turing test to Tell Computers and Humans Apart) to prevent automated bot for data entry. Although there are various kinds of CAPTCHAs, text-based scheme is still applied most widely, because it is one of the most convenient and user-friendly way for daily user [1]. The fact is that segmentations of different types of CAPTCHAs are not always the same,...
Software-defined elastic optical networks (SD-EONs) provide operators more flexibility to customize their optical infrastructure dynamically and adaptively, and network virtualization, i.e., infrastructure-as-a-service (IaaS), enables multiple tenants to share the substrate infrastructure efficiently. In this paper, we study how to provision virtual SD-EONs (vSD-EONs) with the correlated data and...
In order to regulate the dc-link voltage and achieve the bidirectional power flow capability, a traction driving system with bidirectional quasi-Z-source inverter (BQ-ZSI) for electric vehicles (EV) is proposed in this paper. Based on analyzing the circuit structure and small signal model, oscillation of the dc-link voltage of BQ-ZSI could be caused when the disturbances on dc input voltage occur...
A 220 kV Capacitor Voltage Transformer (CVT) quitted operation because of losing secondary voltage. After the accident, power-off diagnostic testing was performed and it was found that several data were abnormal such as the transformation ratio, the secondary winding's DC resistance and the capacitance values, showing various types of fault characteristics. However, according to the CVT's internal...
In order to discuss the features of electrons in negative corona, a 2D, multi-component, and plasma chemical improved model is detailedly presented for the simulation of rod-plate DC corona discharge in dry air (O2:N2=1:4). The model is based on plasma hydrodynamics and chemical models in which 28 reactions are considered. The simulation is established with a rod-plate electrode configuration with...
To mitigate the impact of wind forecasting error uncertainty, a Chance-Constrained Goal Programming (CCGP) based day-ahead scheduling model is proposed in this paper. Compared with the traditional Chance Constrained Programming (CCP) method, the CCGP based model is more flexible, which allows higher violation probability than the predefined probability in necessary situations. In this way, the day-ahead...
It is important to select an appropriate representation of wind power uncertainty for unit commitment (UC). Unlike previous studies predefining the scope of uncertainty, this paper presents a method to co-optimize wind power uncertain intervals and unit commitment. The proposed method is aiming to select the optimal wind power uncertain intervals and achieve the optimal trade-off between economics...
Tremendous efforts have been put into dissecting the inherent characteristics and potential applications of Memcapacitor (MC), which possesses unique abilities of storing both information and energy [1]. Recently, coupling is disclosed as the third relation beyond series and parallel connections of memristive circuits in [2], of which the mechanical dynamic coupling of MCs is taken into account for...
Wind power is playing an increasingly important role in electricity markets. However, it's inherent variability and uncertainty cause operational challenges and costs as more operating reserves are needed to maintain system reliability. Several operational strategies have been proposed to address these challenges, including advanced probabilistic wind forecasting techniques, dynamic operating reserves,...
Multi-people tracking has been studied for decades. It is already applied in many computer vision tasks. In this paper, the proposed framework performs frame to frame tracking and follows tracking-by-detection approach. Saliency detection is introduced to enhance multi-people tracking. It is performed on two layers in this method. Salient parts inside the human patch denote representative regions...
With the scale of interconnected power grid expanding, the topology of fault network and admittance parameters become unavailable, which makes it difficult for line personnel in power system to do transient stability analyses. Aiming to solve the problem, this paper proposed the multivariate linear regression algorithm (multiple linear regression, the MLR) to identify the node admittance parameters...
Automatic 3D neuron reconstruction for very large 3D light microscopy images remains to be a challenge in neuroscience. Few existing neuron tracing algorithms can be used with commonly available computers (laptops, desktops, or workstations) to efficiently and accurately reconstruct a neuron in image stacks that are tens of gigabytes or greater. We introduce a new automatic tracing algorithm called...
In the field of biomedical imaging analysis on single-cell level, reliable and fast segmentation of the cell nuclei from the background on three-dimensional images is highly needed for the further analysis. In this work we propose an interactive cell segmentation toolkit that first establishes a set of exemplar regions from user input through an easy and intuitive interface in both 2D and 3D in real-time,...
Datacenter demand response is envisioned as a promising tool for mitigating operational stability issues faced by smart grids. It enables significant potentials in peak load reduction and facilitates the incorporation of distributed generation. Monetary refund from the smart grid can also alleviate the cloud's burden in escalating electricity cost. However, the current demand response paradigm is...
In the past 5 years, people re-identification has been a popular topic as an application using computer vision techniques. Among the models used for people re-identification, soft-biometric traits based models have great potential due to the semantic meaning and robust performance they have. In this paper, we will exploit the performance of supervised learning based method on the detection of three...
This paper presents a new approach for human hair length detection. In contrast to others, the proposed method is able to segment hairs from different views of human heads even with low resolution. Faces are not necessary to be visible in the images, as no face detection is needed in our method. Firstly, it conducts background subtraction to detect foreground objects and then detects human heads with...
We propose a probabilistic methodology to estimate a demand curve for operating reserves, where the curve represents the amount that a system operator is willing to pay for these services. The demand curve is quantified by the cost of unserved energy and the expected loss of load, accounting for uncertainty from generator contingencies, load forecasting errors, and wind power forecasting errors. The...
The demand for capping carbon emission has promoted the use of fuel cell energy in cloud computing, yet it is unclear what and how much benefit it may bring. This paper, for the first time, attempts to quantitatively examine the benefits brought by fuel cell generation, and to illustrate how such benefits can be realized with an intelligent coordination between grid power and fuel cell generation...
A new and effective salient region detection method based on local and global saliency information is proposed. To keep the completeness of salient regions, the input image is segmented into several regions firstly. Then for each region, local saliency and global saliency are generated respectively. The local saliency is computed by multi-scale neighborhood contrast, and the global saliency is measured...
Many applications of computer vision, such as people identification and tracking in surveillance system, demand to describe the appearance of people. However, factors such as illumination, people pose and background may greatly affect the performance of the people appearance description. In this paper, a semantic model to describe people in surveillance cameras is introduced. Observing that in a short...
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