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Bipolar DC system provides flexible connection and decreased line-to-ground voltage level at the expense of potential voltage unbalance between positive pole and negative pole. Voltage balancer works as “Dependent Voltage Source” to eliminate the unbalance voltage. It is a critical grid-forming component for bipolar system. Considering the need of system expansion and “N+1” redundancy design, bipolar...
At present, the lack of actual operation experience of the intelligent substation secondary system results in indeterminate maintenance strategy, time-consuming and laborious routing inspection, blindness in maintenance work and some other issues. Based on this, a comprehensive evaluation system of the operation quality of the secondary system is realized firstly. Secondly, the utility function is...
Single-image blind deblurring could be considered as an important preprocessing step in imaging information fusion. Its purpose is to simultaneously estimate blur kernel and latent sharp image from only one observed blurred image. Blind deblurring has been attracting increasing attention in the fields of image processing, computer vision, computational photography, etc. However, it is a typically...
A typical way to improve the quality of requirements is to assign them to suitable stakeholders for reviewing. Due to different characteristics of requirements and diverse background of stakeholders, it is needed to find an optimal solution for requirements assignment. Existing search-based requirements assignment solutions focus on maximizing stakeholders' familiarities to assigned requirements and...
In the fields of remote sensing image processing, hyperspectral image (HSI) classification is a hot topic, which involves computer graphics, statistics, matrix theory and other disciplines. In this study, we prefer to use machine learning classification algorithm (supervised learning or unsupervised learning) to predict under the context of HSI classification. Recently, sparse representation based...
As the most important step of a stereo vision system, stereo matching, which finds the correspondences in stereo image pairs, requires high-quality real-time depth computation. In this paper, a high accuracy and high throughput full-pipeline hardware architecture with disparity and row parallelism is proposed. In the semi-global aggregation stage, to improve the accuracy in discontinuous regions,...
Intelligent robot such as Unmanned Ground Mobile Robot or Vehicle is a kind of automatic equipment without a manual operation to complete the task. This paper presents a method of trajectory planning for intelligent robots based on the ant colony algorithm under an environment with obstacles. The robot can autonomously avoid obstacles from the starting point to reach the target point during maneuver...
Sparse unmixing is based on the assumption that each mixed pixel in the hyperspectral image can be expressed in the form of linear combinations of a number of pure spectral signatures that are known in advance. Despite the success of sparse unmixing based on the L0 or L1 regularizer, the limitation of this approach on its computational complexity or sparsity affects the efficiency and accuracy. In...
Artificial Bee Colony (ABC) algorithm has been applied to many scientific and engineering problems for its efficiency. However, the original ABC technique cannot be used in dynamic environments directly. This paper proposes a multiswarm ABC algorithm, or MABC, that has a similar framework as the original ABC but uses environment detecting technique to track the moving of the optimum of dynamic problems...
This paper deals with the optimization of operating room (OR) process. This topic is especially of interest in view of the current attempts of hospitals to improve the efficiency of OR. In this paper we introduce the concept and methods of process, and doa research for OR process in hospital A with the thought of process management. We use Pro-model to build a model for the present and optimized process...
We address the problem of video face retrieval in TV-Series, which searches video clips based on the presence of particular character, given one video clip of his/hers. This is tremendously challenging because on one hand, faces in TV-Series are captured in largely uncontrolled conditions with complex appearance variations, and on the other hand retrieval task typically needs highly efficient representation...
High-performance parallel storage systems, such as those used by supercomputers and data centers, can suffer from performance degradation when a large number of clients are contending for limited resources, like bandwidth. These contentions lower the efficiency of the system and cause unwanted speed variances. We present the Automatic Storage Contention Alleviation and Reduction system (ASCAR), a...
The penetration level of Plug-in Hybrid Electric Vehicle (PHEV) is predicted to increase continuously in next two decades. As a result, the charging loads of PHEVs may build up load peaks and affect the stability of the distribution grid if no smart charging schedule is applied. In this paper, two charging methods, V1G and V2H, are introduced to mitigate the peak loads by re-scheduling the daily charging...
In this paper, a practical Identification strategy is applied to the optimal design of fractional-order iterative learning control (FOILC). The initialized fractional-order gray-box system with commensurate order or non-commensurate order is identified by using the fractional-order iterative learning Identification and the least square or instrumental variable method. The optimal Dα-type FOILC is...
This paper discusses a practical order identification method for fractional order linear and nonlinear systems, which can adapt and benefit any order dependent system identification methods. Based on the adaptive fractional order iterative learning control (FOILC) results, the P-type fractional order iterative learning identification (FOILI) strategy is applied to estimate the system order iteratively...
Big Data is changing this world at a surprising speed, and MapReduce plays a critical role in finding insights in Big Data. However, to efficiently extract insights from Big Data, performance optimization of MapReduce applications is a challenging task. To facilitate the full-system optimization of MapReduce applications, we propose a correlation-based performance analysis approach to efficiently...
MapReduce plays an critical role in finding insights in Big Data. The performance optimization of MapReduce programs is challenging because it requires a comprehensive understanding of the whole system including both hardware layers (processors, storages, networks and etc), and software stacks (operating systems, JVM, runtime, applications and etc). However, most of the existing performance tuning...
Implementation design space of piece-wise linear outphasing signal component separator is explored by utilizing the changes in micro-architecture, choice of storage elements and aggressive back-end leakage power optimization techniques. With combination of these techniques, ∼2× energy and area savings are achieved, resulting in record energy-efficiency of 32pJ/sample for asymmetric multilevel outphasing...
It is necessary for a server oriented to the Internet of Things (IOT) applications to provide countless connections with efficient and reliable service. Meanwhile the communication layer should try to lower the overhead. Therefore a highly efficient design for a socket server with buffer pool and a thread pool for concurrent request on the IOT platform is presented. This reduces the system overhead...
In this paper, we propose a novel implementation scheme of Discrete Cosine Transform (DCT) with ultra high area-efficiency based on signed stochastic computation. Due to the properties of stochastic computation, a new number system, complicated DCT circuits can be realized with very simple logic. According to our analysis, addition operation is the performance and hardware cost bottleneck for stochastic...
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