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Distribution network reconstruction has caused widespread concern of the community. Firstly, the method of calculating the power flow of the ant colony algorithm is analyzed, and puts forward the hybrid modified ant colony algorithm of distribution network reconfiguration method, using simulated annealing algorithm to generate the ant pheromone distribution, with increasing attachment branch impedance...
In the past few years, organic film prepared on the silicon (Si) surface has become attractive owing to the wide range of potential application, low cost and good performance. In this paper, perfluorinated organic film was prepared on the Si surface in aqueous solution using one-step dipping method. On the Si surface, 4-nitrobenzene diazonium (NBD) tetrafluoroborate was firstly reduced with the presence...
Convnets have enabled significant progress in pedestrian detection recently, but there are still open questions regarding suitable architectures and training data. We revisit CNN design and point out key adaptations, enabling plain FasterRCNN to obtain state-of-the-art results on the Caltech dataset. To achieve further improvement from more and better data, we introduce CityPersons, a new set of person...
Ad hoc smartphone networks can be used to augment communications degraded by disasters provided that the individual ad hoc clusters can reach some "connection gateways" to get out to the Internet. This capability can be provided by devices in the surrounding area that retain cellular connectivity in addition to the connectivity provided by the specially deployed emergency equipment, if any...
This paper introduces an improved operation mode called Fast-swap charging mode (FSCM) for on-board-powered light rail (LR) networks. The main concept is to swap the depleted energy storage units for fresh, pre-charged units after the light rail vehicle arrives at the first/last station, instead of charging them during daily operation. The proposed operation mode allows the empty energy storage components...
The emerging markets are experiencing high growths, have massive and still expanding market sizes, and huge labor forces, but they also face significant constraints such as resource constraints, immature infrastructures, and low purchasing power. The internal gap between huge unsatisfied demands for low-cost products from the bottom of the pyramid and the weak economic foundation in emerging markets...
Through-silicon via (TSV) is a critical technology for electrical connection in 3D integration and the formation of insulating layer is one of the most critical steps which directly influence the reliability of TSV package. In this article, silicon dioxide is obtained by a new method based on the formation of the porous silicon (PS). In this experiment, the HF solutions with the concentrations of...
In three-dimensional packaging (3D packaging) industry, through silicon via (TSV) technology is significant which acts as connection between chips and wafers. TSV technology achieves the interconnection through vertical vias and the formation of silicon vias mainly utilizes laser processing technique or deep reactive ion etching (DRIE) technique at the present stage. In this paper, an electrochemical...
Encouraged by the recent progress in pedestrian detection, we investigate the gap between current state-of-the-art methods and the "perfect single frame detector". We enable our analysis by creating a human baseline for pedestrian detection (over the Caltech dataset), and by manually clustering the recurrent errors of a top detector. Our results characterise both localisation and background-versusforeground...
Aiming at farmland information monitoring in remote mountain areas, using wireless sensor networks (WSNs) and unmanned aerial vehicle (UAV) is a good way to collect the information. However, UAV has some limitations, such as energy, that have limitation on the work time of UAV. Therefore, the path planning for UAV is an important factor in order to gather data correctly. Considering the irregularity...
This paper starts from the observation that multiple top performing pedestrian detectors can be modelled by using an intermediate layer filtering low-level features in combination with a boosted decision forest. Based on this observation we propose a unifying framework and experimentally explore different filter families. We report extensive results enabling a systematic analysis. Using filtered channel...
Most of the previous studies on scientific collaborator recommendation are based on social proximity analysis to suggest collaborators. However, the extracted homogeneous features cannot well represent the multiple factors which may implicitly affect the future scientific collaboration. In this paper we propose an approach based on the multiple heterogeneous network features, which has produced good...
With good control on current distribution, a frequency divider by separating branch based on conventional Current Mode Logic (CML) has been proposed, presenting an improved performance in high-speed and wideband without increase in power dissipation. Simulation in the TSMC 0.18um 1p6m RF technology shows that it has a frequency range of 12.3GHz, whose maximum operation frequency can reach up to 21...
The iVector representation of speech utterances is currently widely used in speaker and language recognition tasks. In this paper, an iVector extractor using pre-trained neural networks is proposed for speaker verification. It can be viewed as an alternative to the classical total variability approach. In the proposed system, a neural network with bottleneck layer is trained with speaker labeled utterances,...
Recently, sports video analysis for retrieval purpose has become a hot research area. As important clues to sports video content analysis, detection and recognition of the number of athletes is a direct method to identify athletes. In this paper, we propose a method of detect rigid number of athletes. The number of athletes, as an example, we explored methods of detection and identification of the...
Inspired by the human vision system, in this paper we propose a specifically organized kind of center-surround contrast features and show their suitability for pedestrian detection. These contrasts are computed from a novel combination of both local color and gradient statistics aggregated quickly for arbitrary sized square cells. We exploit our contrast features in a rich multi-scale and -direction...
Big data technologies still have a long way to go, the challenges including capture, content management, storage, search, sharing, transfer, analysis, and so on. Distributed Peer-to-Peer storage and search technologies due to their characteristics in distribution and scalability can be used for big data. Chord is a typical Distributed Hash Table-based lookup protocol used in P2P networks. To make...
We propose a simple yet effective detector for pedestrian detection. The basic idea is to incorporate common sense and everyday knowledge into the design of simple and computationally efficient features. As pedestrians usually appear up-right in image or video data, the problem of pedestrian detection is considerably simpler than general purpose people detection. We therefore employ a statistical...
This paper describes a general framework of speaker recognition on summed-channel condition for both enrolling and test data. We present several methods for clustering the target speaker who is involved in multiple summed-channel enrolling excerpts. In our approach, each excerpt is segmented separately by a speaker diarization system as the first stage. Then segments belonging to the same speaker...
In this paper, we investigate the variational Bayes based I-vector method for speaker diarization of telephone conversations. The motivation of the proposed algorithm is to utilize variational Bayesian framework and exploit potential channel effect of total variability modeling for diarization of conversation side. Other three well-known techniques are compared as follows: K-means clustering for eigenvoices...
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