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Multi-Level Integrated analysis model of spatial information proposed in this article can offer more credible results than traditional regression models because of its ability disposing the hierarchical structure of data. In the model spatial process is taken as the process affected by inner and external effect of data and relations of spatial heterogeneity, spatial dependence and spatial scales are...
Distributed generators (DG) brings about great environmental benefits which makes it worth researching. In order to optimize the grid-connected positions and capacities of various types of DG, a multi-objective model is established. The total generation cost of DG, the network loss and static voltage stability indices are synthetized in the model. Additionally, a kind of improved multi-objective free...
Taking precipitation anomaly as main drought evaluation index, the paper calculated the spatial distribution of meteorological factors to the whole region by the interpolation method of IDW. In addition, use multiple regression analysis method to study the correlation of meteorological factors, geography factors and social economic factors. The study fully reflects the important role of population...
MapReduce is a programming framework widely used in cloud computing environments for processing large amount of data in a highly parallel way. However, current MapReduce model do not cope well with its scalability, which means that under certain hardware configuration, it can only support limited scale of cluster due to the overloading of center node. In this paper, we present a prototype based on...
Sales price of staple commodities plays an important role in human life and reflects production and sales of enterprises, so predicting the price accurately is of great significance. The price of chemical products has the characteristics of time series, nonlinear, unstable, etc, and has relationship with multiple variables which are affected by seasons, national policy and macro-economy. Therefore,...
Botnet have turned into the most serious security dangers on the present Internet framework. In this paper proposed an anomaly detection model based on genetic neural network system, which joined the significant global searching capability of genetic algorithm with the precise local searching element of back propagation, feed forward neural networks to improve the initial weights of neural network.
Message middleware is an important branch of middleware, it provides the development of distributed application system with an asynchronous, pine for programming architecture, the consistent thought and the development trend of modern software technology, which is widely used in industry in the enterprise application integration and distributed computing. Message bus message middleware is a kind of...
Wireless sensor networks (WSNs) with one static sink often suffer from energy hole problem, which means energy consumption of certain sensors near the sink or on critical path is much faster than other sensor nodes. Finally, network partition and isolated nodes are caused. To solve this problem, we propose an Energy-Efficient Strategy Enhancing Lifetime for WSNs based on MECA and PEGASIS. This algorithm...
Wireless sensor networks (WSNs) is an important application for real time monitoring and detecting the phenomenon in a coal mine, which can ensure the workers' life safety and reduce the financial loss. But the drawback of WSNs is that the nodes are easy to die. To balance the traffic load and optimize the networks' routing seems more important. Clustering is an effective approach to prolong the network...
Photoacoustic (PA) imaging is a potential new biomedical imaging technique with combined advantages of ultrasonography's good resolution and high contrast of optical imaging. The spectrum parameters obtained from photoacoustic spectrum analysis (PASA) have been found to have the relationship with tissue microstructure. However, the effects of transducer positions on PASA have not been studied yet...
Recently, Online social networks (OSNs) are growing at a phenomenal rate, and OSN service providers need to consider how to place users' data to multiple servers inside a data center. Key-value stores use consistent hashing to efficiently solve the problem of data placement, and turn into a defacto standard. However, random placement manner of hashing cannot preserve social locality, which leads to...
The number of application based on Apache Hadoop is increasing dramatically due to the robustness and dynamic features of this system. At the heart of Apache Hadoop, the Hadoop File System (HDFS) provides the reliability, scalability and high availability to computation by applying a static replication strategy. However, because of the characteristics of parallel operations on the application layer,...
We propose a new routing protocol for the Wireless Sensor Network (WSN). The protocol bases on the PEGASIS protocol, but using an improved ant colony algorithm and thought of neural network rather than the greedy algorithm to build the chain. Compared with the original PEGASIS, the new protocol can achieve a large optimization. It forms a chain that makes the path more even distributed and the total...
This paper investigates the power module design for better common-mode (CM) noise performance. A high frequency full-bridge diode rectifier is studied as an example. For this circuit, a comprehensive parametric study and a proposed CM equivalent model are first presented to identify the most influential factors in CM noise generation and mitigation. It is shown that proper parasitic value and parasitics...
During the dynamic test of high power switching devices, it can be challenging to measure both high speed and low amplitude signals accurately. This paper uses fast response on-die temperature sensing as an example to investigate the electromagnetic interference control of a typical double pulse test (DPT) setup. Three common noise sources are identified: 1) Conductive common-mode noise caused by...
This paper provides a comprehensive study on the life test method of the retired xEV(PHEV/HEV/EV) battery pack for smart house energy storage applications. First, the paper proposes a detailed model for a energy management system supported smart house. By utilizing historical household load data and Photo Voltaic (PV) panel power generation data, a 96-hour close-to-real mission profile of the battery...
In general, the power systems with high penetration of renewable energies result in a system with a relatively low moment of inertia, and can be susceptible to significant frequency variations. However, the virtual inertia of wind power which imitates the kinetic inertia of synchronous generator can be used to improve the system dynamic behavior. This paper presents a novel hybrid adaptive fuzzy control...
Selective harmonic elimination technology has been widely used in many medium and high power converters which operating at very low switching frequency, however, it is still a challenging work to solve the switching angles from a group of nonlinear transcendental equations, especially for the multilevel converters. In this paper, an algebraic method is proposed for selective harmonic elimination....
Residential microgrid load modeling is a new challenge that has received increased attention in recent years. Traditional state-of-art load modeling methods are not able to reflect the details of the residential loads proficiently. In addition, microgrid load modeling serves as a foundation for emerging smart grid technologies, such as microgrid planning, smart building design and demand-side energy...
Big data create values for business and research, but pose significant challenges in terms of networking, storage, management, analytics, and ethics. Multidisciplinary collaborations from engineers, computer scientists, statisticians, and social scientists are needed to tackle, discover, and understand big data. This survey presents an overview of big data initiatives, technologies, and research in...
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