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This paper studies how to efficiently apply device-to-device (D2D) communications underlaying a cellular system to support vehicle-to-vehicle (V2V) connection (termed D2D-V). By considering the geographic features of the D2D-V system, we propose a D2D-V grouping, reuse channel selection (RS), and power control (PC) framework to achieve the optimal performance of the D2D-V system, in terms of either...
Band overlap and random noise exist widely when the spectra are captured using an infrared spectrometer, especially when the problems of instrument aging has become more and more serious recently. In this paper, via introducing the similarity of multiscales, a blind spectral deconvolution method is proposed. Considering similarity of the latent spectrum between different scales, it is used as a prior...
Current TCP/IP based network is suffering from the usage of IP especially in the era of Internet of things (IoT). Recently Content Centric Network (CCN) is proposed as an alternative of the future network architecture. In CCN, data itself, which is authenticated and secured, is a name and can be directly requested at the network level instead of using IP and Domain Name System (DNS). Another difference...
Smart grid is a brand new power system that allows the installation of a high percentage of powers from renewable energy sources. In its operation, how to utilize the smoothing effect of renewable energy output plays a vital role in ensuring the power quality. This paper proposes a new operation method for smart grid which assures both the power quality and the economy of the operation. Firstly, we...
Security chip is widely used in security equipment of power distribution and utilization, ensuring information security of control systems in smart grid. The paper analyzes the threat and protection, such as disturbance attack, side channel attack and data transmission attack, which the state cryptographic authentication security chip are faced with in terminals of power distribution and utilization...
In this paper, we study the class imbalance problem in statistical background subtraction. Firstly, we discuss the imbalance essence in background subtraction, and conclude that foreground and background are inherently imbalanced. Secondly, following the imbalanced learning strategy in machine learning, we present a spatio-temporal over-sampling method to resolve the class imbalance in background...
This paper presents a novel region merging based automatic image segmentation approach, which is applicable for object extraction. From an initial over-segmentation result, we exploit the regional histogram based similarity measure as merging criterion and merging order determination scheme with three priorities, to efficiently perform region merging, which is recorded using a binary partition tree...
This paper sets up a performance evaluation index system, based on the balanced scorecard for large enterprise information system within the context of large nuclear power company and determines the weight coefficient of the index system by using Delphi method and the analytic hierarchy process. Then it constructs a performance comprehensive evaluation model for the enterprise information systems...
The product sales are affected normally by the seasonal cycle, and the new product sales are nonlinearity in general. According to the characteristics of financial equipments sales, fixed weights model and variable weights combination prediction model are proposed based on traditional seasonal index smoothing prediction and grey system prediction, aiming at to minimize the error sum of squares. JL302...
The data structure course is a core foundation stone in a computer science curriculum. Many complicated concepts and algorithms make this course to be a difficult one. In this paper, a teaching method of combining theory and practice in the data structure course is presented. The concepts of logical structure and storage structure in the data structure are stressed to explain the basic data organizing...
DC-DC converters by nature present hybrid behavior, which is described by a set of discrete modes associated with continuous dynamics. The control objective is accomplished by switching among the discrete modes. This paper presents a new model predictive control approach to optimize the performance of DC-DC converters. The proposed control algorithm is tailored to DC-DC converters, making full use...
In this paper, an innovative switching control approach is proposed for inverters. This method achieves the best sinusoidal reference tracking performance, is extremely easily to implement and robust to load uncertainty. Detailed performance bounds are derived which reveal the relationships between power source, current reference and fundamental switching period.
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