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The paper presents a novel data integrity attack on consensus-based load shedding algorithm. In particular, we show that by sending out elaborately falsified information during the consensus iterations, attackers could manipulate the system operating point to achieve selfish goals, e.g. loads remain being served under contingencies while shedding other loads. More importantly, still maintain the system...
Aiming at the problem that the precision control of the seeder is not high, the position control system of the stepper motor with DSP as the controller is designed. This system uses SCI serial port to communicate with the host computer, through the photoelectric encoder to measure the mechanical walking position and feedback to the DSP2407 controller, the controller according to the feedback results...
Wavelet neural network has a slow convergence rate, weak global search capability and easy to search the search results to a minimum, while the genetic algorithm has a high degree of parallelism, randomness, adaptive search and global optimization. The wavelet neural network is transformed and transformed to obtain the discretized wavelet neural network. In this paper, the three-layer wavelet neural...
As the number of DER in the microgrid increases, the electrical interfaces and communication interactions are more sophisticated and frequent than ever, which poses a great challenge for microgrid Energy Management System (EMS). Efforts has been made to address this challenge. The solutions generally fall into two categories: centralized and distributed solution. Comparing with centralized EMS, distributed...
Distributed energy management algorithms eliminate the control center from the conventional energy management systems and calculate the optimal schedule for all devices through iterative coordination among neighbors. Most of the existing distributed approaches are developed under the assumption that all devices are secure and willing to achieve an optimal system performance together in a “collaborative”...
Distributed DC optimal power flow (DC-OPF) is vulnerable to malicious cyber attacks due to the absence of a control center. In our previous work, we demonstrated a data integrity attack can manipulate the power dispatch result of distributed DC-OPF by compromising the distributed controller on a bus and modifying the information being sent to the neighboring buses. This vulnerability, in turn, could...
The internet of things (IoT) is an attractive networking paradigm with machine-to-machine communication. Several distributed approaches have been proposed to solve the DC optimal power flow (DC-OPF) problem in the IoT environment. The nature of distributed computation provides scalability, robustness and privacy protection, while it also poses more vulnerabilities to unexpected cyber faults and adversaries...
A variety of distributed energy management algorithms are being developed for DC optimal power flow (DCOPF) application owing to their flexibility and scalability in the presence of high distributed Energy Resources (DERs) penetration. However, these algorithms are vulnerable to malicious cyber attacks due to the absence of control centers. In this paper, we study and analyze the economic impact of...
In-network caching as a fundamental characteristic of ICN has been paid more attentions. How to cache is an important problem should to be answered by ICN designers and ISPs. Our argument is how to program a better cache placement within a funds limit. That is, an Internet Service Provider (ISP) wants to invest on deploying some cache equipment on the ICN router to improve the network performance...
As a knowledge management system which can help team members understand other's expertise and skills, Transactive Memory System(TMS) is of great significance to improve the level of the enterprise team performance. This study constructed a relational model between TMS and enterprise team performance, via some statistical analysis methods like factor analysis and regression analysis, doing confirmatory...
A risk-based model of transmission line de-icing outage scheduling during ice storm is proposed in this paper. The ice thickness of transmission line is calculated by an ice accretion model using meteorological forecast data. The load-strength interference model is then introduced to calculate the dynamic outage rates of lines with the ice and wind load. Accounting for the ice thickness constraints...
In-network caching as one of the primary components for ICN (information-centric network) has attracted more and more attentions. In this paper, we present a profit-based caching for ICN. The profit value for the content arriving on a router is determined by request popularity, distance to content source, content size and content duration, etc. The content duration is considered as an important factor...
In order to solve fault diagnosis problems about process cumbersome, time-consuming, low operation efficiency due to its own characteristics of the image motion compensation circuit, the fault diagnosis system of image motion compensation circuit based on improved ant colony algorithm (ACO) and virtual instrument technology is designed. Aiming at established model after the detailed theoretical analysis,...
This paper investigates downlink frequency resource coordination for LTE network that comprises of macrocell and femtocell. Due to the requirement of high data rate for indoor coverage, femtocells have been considered as a potential solution recently. However, owing to their random and uncoordinated deployment, cross-tier interference exists and affects the system throughput seriously. A hybrid resource...
In order to reduce the impact of adjacent channel interference (ACI) to other licensed system deploying at the adjacent channel, nearly 10% of the system bandwidth at the edge of the transmitted bandwidth is reserved as guard band. Generally, transmitting on guard band increases data rate for one system but the followed ACI decreases another system deploying adjacently in frequency, which might decrease...
Femtocells can be used to enhance the system coverage and capacity of cellular network. However, the interference between the femtocell and existing macrocell is an important issue that needs to be dealt with. Moreover, the interference is strongly affected by access control strategy of femtocell, which decides whether a given user can connect to the femtocell. In this paper, an enhanced hybrid access...
For the fault complexity the compensate panel used in the aerial camera, we present a fault diagnosis technique based on the FTA. Through the analysis and qualitative research of fault model camera compensation panel,we give overall program of fault diagnosis system for compensation panel of aerial camera is, and design its detailed hardware and software system. Our aim is to provide a simple, fast...
A method based on the neural network to predict the strains of the gas generator in a liquid rocket engine is presented for the fault analysis of the gas generator. A modified back-propagation algorithm is proposed to train the neural network. The training and testing samples are generated with an experiment. In the experiment, four strains in the risk domain of the gas generator and three forced...
In this paper, we use a hybrid method which combines the traditional guided waves concept and FEM (finite element method) to analyze the spurious modes of aluminum nitride (AlN) film with electrodes. First, the guided wave modes in plated area are gotten by 1-D FEM. The vibration of the film resonator is a superposition of all the guided modes. We find that for AlN film resonator, a thickness-stretch...
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