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With the widespread use of smart appliances in the residential area, the load side of the microgrid is becoming more and more flexible. As we all know, the renewable energy generation is usually uncontrollable, so how to dispatch the controllable generation devices, storage system and flexible loads to guarantee the safe and economical operation of the microgrid is a very important problem to be solved...
Variable on Time (VOT) control is proposed in the paper. Compared to conventional constant on time (COT) control, the on time of VOT control is modulated by output of error amplifier, rather than fixed voltage. VOT controlled buck converter shows significant duty cycle extension than COT control, especially for high switching frequency and wide input/output range applications, such as DVS converters...
Deep neural networks have advanced many computer vision tasks, because of their compelling capacities to learn from large amount of labeled data. However, their performances are not fully exploited in semantic image segmentation as the scale of training set is limited, where perpixel labelmaps are expensive to obtain. To reduce labeling efforts, a natural solution is to collect additional images from...
Due to the explosive requirement in wireless communication, the wireless radio spectrum is nearly occupied and become more and more congested. VLC is a new technique transferring data through the links of light emitting diodes (LEDs), which are used for illumination simultaneously. It is a green, secure, radiation-free technology with high throughput, regarded as a promising solution to mitigate wireless...
Recent advanced deep convolutional networks (CNNs) achieved great successes in many computer vision tasks, because of their compelling learning complexity and the presences of large-scale labeled data. However, as obtaining per-pixel annotations is expensive, performances of CNNs in semantic image segmentation are not fully exploited. This work significantly increases segmentation accuracy of CNNs...
We propose a novel deep layer cascade (LC) method to improve the accuracy and speed of semantic segmentation. Unlike the conventional model cascade (MC) that is composed of multiple independent models, LC treats a single deep model as a cascade of several sub-models. Earlier sub-models are trained to handle easy and confident regions, and they progressively feed-forward harder regions to the next...
Ultrafast fiber lasers have been recognized as the efficient ultrashort pulse sources, which can be applied to various practical fields, such as material processing, fiber sensing, optical communication and medicine. To generate ultrashort pulse, the most efficient approach is the use of passive mode-locking techniques. So far, the passively mode-locked pulse duration ranging from femtosecond to picosecond...
Episode Rule Mining is a popular framework for discovering sequential rules from event sequential data. However, traditional episode rule mining methods only tell that the consequent event is likely to happen within a given time intervals after the occurrence of the antecedent events. As a result, they cannot satisfy the requirement of many time sensitive applications, such as program security trading...
The digital equivalent of a handwritten signature or stamped seal, but offering far more inherent security, a digital signature is intended to solve the problem of tampering and impersonation in digital communications. Digital signatures can provide the added assurances of evidence to origin, identity and status of an electronic document, transaction or message, as well as acknowledging informed consent...
The identification of disease genes is an essential issue to decipher the mechanisms of complex diseases. Many existing methods combine machine learning algorithms and network information to predict disease genes and are based on the ‘guilt by association’ assumption, where disease genes are considered to be close to each other in a biomolecular network. Although these methods have gained many novel...
In this paper, a multi-objective day-ahead optimal dispatch model of the islanded micro grid including wind turbines, photovoltaic system, lead acid battery and diesel generator is constructed. One objective function is the generation cost of the diesel generator and the other one is the energy circulation of the battery. The optimal dispatch model is established considering the constraints of each...
A float gate width and float gate voltage driver is proposed in this paper, which is applied in double N-type power MOSFETs buck converter with large load driving capacity to improve the efficiency. The relationships between the total power dissipation with the gate width and gate voltage are analyzed firstly. Then, a three segment float gate width controller is designed based on peak current mode...
A fully integrated, reconfigurable step-up DC-DC switched-capacitor power supply solution for energy harvesting system is presented in this paper. A new series-parallel architecture of step-up switched-capacitor converter with Pulse Skip Modulation (PSM) is proposed. This converter generates a stable regulated output (1.2V) from an ultra-low input voltage of 0.3V–1.2V. The designed converter achieves...
In order to make the buck converter obtain smaller voltage ripple and higher efficiency at the same time, the pulse skipping width modulation (PSWM) mode in buck converter application is proposed in this paper. This novel controlling mode combines the advantage of pulse skipping modulation (PSM) with improving voltage ripple especially in lighter load and pulse width modulation (PWM) having higher...
In order to reduce the impact of high penetration of renewable energy on the utility grid and suppress the influence of micro-grid power fluctuation on power quality, a power tracking control strategy for DC micro-grid has been studied. And a novel energy management method based on this control strategy has been designed. The DC micro-grid, which contains renewable energy and hybrid energy storage...
Due to the unique nonlinear dynamic of soliton explosions, they have attracted much attention in ultrafast laser community since Akhmediev et al. theoretically discovered them in 2000. In the soliton explosion regime, the spectrum of soliton would collapse abruptly and then come back to its original state [1]. However, due to the transient property of soliton explosions and the limitations of real-time...
To preserve privacy has been a difficult problem in designing secure cloud storage system. In existing cloud storage systems, the privacy protection of user file directories is ignored while the privacy protection of files is focused on. A privacy-preserving method of creation file directory in cloud storage systems is proposed in this paper. This method makes cloud service providers can't identify...
In this paper, a dynamic multi-objective day-ahead optimal dispatch model is constructed to minimize the operating cost and the environmental cost of the grid-connected micro grid which including wind power, photovoltaic power generation, battery and diesel generator. The optimal parameters are the charge/discharge value of battery and the output power of the diesel generator in 24 hours. In order...
Face detection is one of the most studied topics in the computer vision community. Much of the progresses have been made by the availability of face detection benchmark datasets. We show that there is a gap between current face detection performance and the real world requirements. To facilitate future face detection research, we introduce the WIDER FACE dataset1, which is 10 times larger than existing...
Recent advances in clothes recognition have been driven by the construction of clothes datasets. Existing datasets are limited in the amount of annotations and are difficult to cope with the various challenges in real-world applications. In this work, we introduce DeepFashion1, a large-scale clothes dataset with comprehensive annotations. It contains over 800,000 images, which are richly annotated...
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