Factor 4 improvements represent a critical leap forward in district planning and management in the future. SSD is an innovation project comes from EU,and helds workshop in Technology University of Berlin,Germany. It is an innovation plan helps us achieve Factor 4 improvements in a range of climate change...

The design and development of distributed simulation systems are a complex process, and the Domain Specific Modeling (DSM) methodology is progressively gaining popularity as it uses domain knowledge directly to specify systems in a higher level of abstraction. In this research plan an Eclipse Modeling...

Rural architectural space image presents in the physical environment such as spatial form, characteristics of modeling, material texture, color and functional layout. Combining the examples presented in the physical environment, this paper summarizes the formation modes of rural architectural space image,...

Efficient information sharing and exchanging are becoming increasingly important , but model heterogeneity hinder the communication and collaboration from different enterprises. To solve this problem, a semantic mapping method based on ontology structure graph is put forward in this paper. The requirement...

There is a one-to-one relationship between nonnegative matrix pairs and two-colored digraph. With the knowledge of graph theory, by studying the associated directed digraph of a class of special nonnegative matrix pairs, that is a class of two-colored digraphs whose uncolored digraph have vertices and...

With a large number of smart meters installation and application, the power companies can get a variety of information such as meter metering device via a communication network. Considering the needs of grid state estimation for metering device, we propose a new security domain model network metering...

Along with the diversification and complication development of electric equipment in warship, the harmonic pollution in power system is more and more seriously, and the harmonic detection technology increasingly turns into a very important subject. FFT arithmetic is an usual method to detect harmonic...

Prediction models have some modeling conditions and application scope, we can use them to simulate or predict only when the models are satisfies those conditions. In this paper, we study the application scope of prediction model for interval grey number based on GM (1, 1) through the mathematical derivation....

In order to improve the efficiency of collaborative product design, project task and team should be allocated and scheduled reasonably. Firstly, the matching degree between task and team was defined. Then, trading-off project duration and cost, multi-objective scheduling model of collaborative product...

output, transmission power and direction of each line about a network with a plurality of generating units and a number of main lines depends on the power grid structure and each generation unit. we get the approximate expressions of the output of each generator. When the transmission congestion appear,...

With the rapid development of economic globalization and the improvement of people's living standards, and the impact of global warming gradually strengthened. The emissions and trading scheme of carbon dioxide has been widespread concern at home and abroad. The establishment of carbon emissions system...

The vigorous promotion of DSM is of great significance in improving energy conservation and power system reliability. At present, DSM technology of China has been developed, meanwhile, related projects will be carried out extensively. Therefore, investment risk evaluation for DSM projects of power enterprises...

A rapid and sensitive method using immuno-affinity columns (IACs) as sample purification procedure and high-performance liquid chromatography (HPLC) tandem fluorescence detector (FLD) for detection has been developed for the determination of bisphenol A (BPA) in beer. The limit of detection (LOD) is...

Load forecasting is one of the important content of power system. Gray GM (1,1) model with seasonal time series was proposed by analyzing the development of the electricity load forecasting. This paper made an empirical analysis of the model with data specifically related to electricity in Guizhou region...

How to effectively coordinate the reliability and economy in the market environment is becoming a hot spot of today's power market research. Explore viable mechanism of supply and demand based on reliability under market conditions, establish a reasonable reliability service trade mode, the reliability...

The planning and designing of the power grid structure is most important in the planning and construction of power grid. With the development of urbanization and widespread insertion of distributed generations, the traditional planning method for urban power grid structure is facing new challenges and...

For problems on impacting urban road traffic in view of traffic safety conditions of the urban road intersections, the paper evaluated the intersection safety levels by the traffic conflict technique and grey cluster analysis method. The result of the case analysis shows that the evaluation results are...

In this paper, we discuss the problem of compatible clustering, we propose a new compatible clustering algorithm based on pNCompClu[9]. The new algorithm adopts spherical space approximation technique to replace the point neighborhood mechanism of pNCompClu. Experiments show that the proposed algorithm...

no matter which method chosen to calculate earthwork, it always needs to consider about describing the design surface as accurate as possible. However, in fact, each project has different construction from each other. And each construction has its different design elevation. Meanwhile, for a complete...

This paper uses a university traffic path optimization choice as the research object to analysis the traffic situation. It use the labeling algorithm and the Dijkstra algorithm. The Matlab is used to programme and operate the results. It is mainly solved the problem of optimal route choices and several...

A hybrid genetic algorithm is proposed based on the shortest machine-processing time. The searching direction is guided by the both global and local to improve the efficiency of the algorithm. It is applied to solve the engineering problems in a military enterprise, and the results are satisfied.

Research on the holding control methods for bus can improve the reliability of bus transfer and reduce travel delays of passengers effectively. What’s more, it can help to improve the quality and attractiveness of public transport service and promote the priority development of urban public transport....

Using DPM model to simulate the particle with different size motion in the rotary flow in binoculars continuous, the sliding mesh used the concentric binoculars spiral flow simulation, and take the numerical simulation of the different particle motion in the flow to explore the motion characteristics...

Iris recognition plays an important role in personal identification. The first and critical step in the process of an iris recognition system is iris segmentation. In this study, several aspects are done. Firstly, the fundamental of Chan-Vese level set is described. Secondly, the process of related parameters...

With an increasingly complex and rapidly changing construction circumstance, owners and their contractors are confronting challenges from risk management while maintaining control and improving performance. With great capabilities for project management solution, Monte Carlo simulation was used to forecast...

This paper presents the measurement index system of tram-line network on the basis of the defining of its scale of modern trams. The author makes a comprehensive measurement for the line network scale of modern trams in new urban districts by using measurement theory. Based on the uncertainty mathematic...

In this paper, we use an efficient method to solve the wave numbers of transient wave propagation in layered media. To solve those problems, the analytic solution for the interior domain is combined both a homogeneous solution and a particular solution, the exterior domain is described by a homogeneous...

In this paper, a Discrete Cosine Transform (DCT) domain robust digital watermarking algorithm based on image normalization of invariant moment and the sense of visual feature of person is proposed. In order to boost up the safety and the solidity of the watermark, the watermark is scrambled and chaotically...

In this paper, the problem of component’s offcenter, such as shear wall offcenter, beam offcenter, etc., would be discussed in detailbased on the ISSS which is developed by the authors [1-4] to satisfy the engineering requirement for high performance simulation (HPS). The computing results would be presented...

Approach is proposed for determining the confidence level of the power spectral density (PSD) estimation with give Degree-of-freedom (D.O.F.) based on WELCH algorithm, a modified periodogram estimator for estimating PSD. A relationship between the random error, defined as a ratio of variance and mean...

The current analysis on honeynet log mining was facing malpractice of horizontal partitioning and insufficient data problems. By which we use Apriori algorithm with parallel processing to decrease the frequency of database scan operation and set up an improved algorithm S-Apriori, and then P-Apriori...

This study adopts questionnaire survey to analyze and comb operational risk of the electric power enterprise, and construct the index system of operational risk of electric power enterprise. Then adopt the factor analysis method and blind number theory to screen and quantify the key indicators of operational...

Based on machine learning concepts, this paper has put forward two key problems of the application of support vector regression and has given a solution to these problems. It is that the different characteristics of the sample data are decisive factors of the schemes of the selection, and the procedure...

In this paper we study some combinatorial properties and inequalities of some classes of Z-matrices. These matrices arise in many problems in the mathematical and physical sciences. We show that all (inverse) Ln-1-matrices are irreducible and some eigenvalue inequalities of (inverse) Ln-1-matrices

Deep Web query interface matching is one of the key technologies to realize rapid Deep Web data query. On the study of query interface representation, feature extraction and weight calculation, the method based on singular value decomposition is presented. It transforms the query interface set into a...

with the further development of Internet,rapid scales. Technology the expansion of Internet use is growing due to such rapid growth in this industry, the amount of data dealt by Internet of things becomes the feature of massive amount. The key problems that should be considered with, is how to efficiently...

The marine geological survey project is an important method of marine data acquisition,which relates to the national marine rights and interests and security. To strengthen monitoring and dispatching of survey ships and supervision on offshore projects, a marine geological survey monitoring model, based...

License Plate Recognition (LPR) is one of the key technologies of the intelligence of communication management. A certain amount of difficulties to license plate recognition are caused by the environment of rain and fog. License plate recognition system for this kind of environment is studied in this...

It is very critical to detect elder people's falling down in time for it will be harmed to them even to death if they can't be found early. Body posture detection system is based on STM32F103C8T6 as controller which can detect falling down in time from the two parts of host and slave. Data transferred...

Application requirements and the business volume increased significantly, considering the performance bottleneck and single point failure and other problems, distributed file system gradually will replace centralized storage. This paper discussed the independent designation and development of all in...

To improve the single problem in large data processing system based on cloud computing technology, the research focuses on the impact of network data processing model based on hybrid architecture, fusion processing, and decentralized processing. This research can be used in the next generation of cloud...

n the growing demand for energy, while energy supply is becoming increasingly tense, prices continue to rise. This makes the energy consumption cost plays a more and more proportion in the enterprise cost calculation. To improve the energy utilization rate, cement enterprises take various optimization...

Traditional access control technologies are not well adapted to cloud computing environments. Usage Control (UCON) model is featured with attribute variability and decision-making continuity, which means advantageous in the new environment. But UCON model is highly abstract and difficult to apply. For...

Facing the complexity and variability of electronic circuit design, evolvable hardware has gradually become one of the effective methods to design hardware. Algorithm influences the direction and progress of evolution. In order to improve algorithm and solve the current problem that the evolutionary...

With the advent of the era of big datasets, real-time data is becoming increasingly important in assisting the decision making process for commercial banks. In this paper, we develop a two-step optimization model (FSGA-FCEN) based on genetic algorithm (GA) and cluster ensemble (CE) for customer segmentation....

Traveling Salesman Problems is a classical kind of combined optimization problems. Solving TSP effectively can produce very important theoretical value in computable theory, and also has very high applied value in practice. Solving travel salesman problems by using some traditional algorithms is limited,...

For facial expression features extraction and automatic clustering, a method is proposed. This method integrates improved LBP operator and K-means clustering. Firstly, facial features are located by integral and variance projection. Improved LBP operator with changed threshold is figured out. Secondly,...

Anti-Virus engine depends too much upon the signature database and each detection module couples tightly. To solve this problem, an extensible framework is presented. The function module and data module are decoupled by using the intelligent signature and decomposing composite modules. Inversion control...

Large-scale data streams processing is import to data processing application. So we need to investigate the parallel strategy for the Large-scale data streams processing. Here we propose two parallel strategies to handle data streams in real time, and consider the power efficiency as an important factor...

For solving the distributed permutation flowshop scheduling problem (DPFSP) with the objective of minimizing makespan we design a hybrid genetic algorithm. This algorithm combines a simple genetic algorithm, a local search algorithm and a plant allocation rule with the aim of minimizing the makespan....

Massive multiple-input multiple-output (MIMO) system has become a crucial technology meeting the ever-increasing data consumption demand, for it has more channel capacity, higher frequency spectrum efficiency and reliability. The direction of arrival (DOA) estimation on the base station has a marked...

In this paper, we consider a direction of arrival (DOA) tracking algorithm via adaptive parallel factor via recursive least squares tracking (PARAFAC-RLST) for acoustic vector-sensor array. The adaptive algorithm can efficiently track multiple targets by recursively updated the loading matrices at time...

Power sale quantity of Power grid enterprise is affected by many factors. First, this paper introduces the correlation analysis method, including the Pearson correlation coefficient, partial correlation coefficient and the multiple correlation coefficient; Then analyzing the external influence factor,...

Machine learning has found widespread implementations and applications in many different domains in our life. However, as the big data era is coming, some traditional machine learning techniques cannot satisfy the requirements of real-time processing for large volumes of data. In response, machine learning...

This paper shows a breadth-first maximum-likelihood sequence detection method for ring convolutional coded continuous phase modulation (CPM) over additive white Gaussian noise (AWGN) channel. By reserving the states which are closest to the received signal in the normalized squared Euclidean distance...

A new type of activation function, named Li activation function, is used in gradient-based neural network (GNN) to solve Lyapunov matrix equation. With this activation function, theoretical analysis shows that GNN can converge in finite time, while it can converge only in infinite time with two conventional...

In order to improve the convergence speed of adaptive equalizer, orthogonal wavelet transform has been introduced into adaptive equalizer. The orthogonal wavelet transform are placed in the front of the equalizer (forward filter) in the existing literature, which will reduce the performance of equalizer....

This study first proposes a concept of generalized stability (GST) for discrete chaos system, which is the generalization of chaos generalized synchronization (CGS). Then this study sets up a constructive theorem of GST for discrete chaos system, which provides a general representation of GST in discrete...

According to the network data of mobile packet domain in backbone network, this article analyzes the correlation model of network load index in mobile packet domain. Based on the mobile service and analysis model of user behaviors, in this paper we proposed a correlation model and curve model on total...

Accurate load forecasting can keep the safety of power grid operation stability and guarantee the normal production and life of society. Support vector regression machine is suitable to load forecasting. Its nature of learning method is to give a good forecasting ability according to a small amount of...

According to the optimization problem in a variety of corrective and improvement actions that exist in the FMECA method, this paper introduces the fuzzy theory of FMECA analysis, study quantitative method of the degree of severity S , occurrence probability O and detestability D of RPN algorithm, and...

In order to improve the efficiency of the command of the maritime aerospace measurement and control tasks, the timely discovery and analyzing and solving the abnormal situation in the process of the task, research and design the assistant decision system which be appropriate for the task of the maritime...

This paper presents an MCMC-based particle filter TBD algorithm for multi-target detection and tracking in low SNR environment. In this algorithm, a set of unweighted samples is used to represent the posterior distribution of the joint multi-target state. Then, a MH algorithm is adopted to recursively...

In signal processing, the estimation of instantaneous frequency is a kind of very important issue for non-stationary multi-component signal. Firstly, this paper adopts EMD decomposition to decompose non-stationary multi-component signal and convert into a series of single component signal. Then using...

This paper presents a application of kurtosis and approximate entropy in rolling bearing fault diagnosis.First use the method of LMD adaptive decomposed he rolling bearing vibration signal into different time scales of PF component , then filtered to get PF component, and rebuilt a new weighted optimization...

In this paper we propose a novel classification method based on Linear Regression Classification (LRC) for offline signature verification. The class-specific models can be simply established by using the registered samples (examples), and a test signature can be linearly represented by these registered...

The handwritten number recognition algorithm based on BP-bagging generates the basic classification by BP network and generates multiple classifiers by bagging. The algorithm treats a handwritten character as an image. By scanning the images, 25 dimension features are extracted, and then compresses the...

Because of the increasingly demands of high quality audio signal, speech dereverberation,as the preliminary processing of speaker recognition and automatic speech recognition(ASR), becomes more and more important. The speech obtained from microphones is always distorted by reverberation. Conventional...

Grid Array Ball (BGA) has been used in the production of electronic devices and components because of its small size, high I / O port density and so on. However, BGA solder joint defects will reduce the performance of the motherboard. Because micro-focus X-ray BGA solder joint image has a large number...

Traffic State subarea partition problem has been a hot topic. A sub-area partition algorithm is proposed in this paper based on state connectivity matrix with flow variance in intersections within the road network. The principle of subarea partition is posed in the paper, and a dynamic algorithm is designed...

The ancient Tangka image with reflecting Tibet art has been broken by the nature and human with different degrees The part-shed Tangka image is researched as a type of special breaking. After discussing digital image inpainting, the digital image restoration based on the structure, and Thangka image...