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We propose a novel blind Doppler rate estimator for phase shift keying (PSK) transmissions. The issue may arise in mobile radio links when the received signal experiences non-negligible time-varying Doppler distortion, as in low earth-orbit satellite systems and terrestrial mobile cellular radio systems....

With the appearance of data explosion, important data in incomplete network could be missed caused by some factors. To address the problem, we present a reconstruction framework based on Hawkes process with self-exciting and TAP (Topical affinity propagation) to effectively and efficiently reconstruct...

In this paper, we proposed a mixed model of text classification constructed by latent dirichlet allocation and deep learning. The model present that a text will be represent as a vector computing by latent dirichlet allocation algorithm, and this vector is probabilistic vector of corresponding topic...

Our paper provide select human health, food security, equitable sustainable development, local environmental quality, and energy access, livelihoods, community vulnerability, and access to clean water as indexes to evaluate whether a country is sustainable. With the research of the Intelligent Systems...

Moving objects detection is an important research content in computer vision field and it plays a very important role in many vision applications such as smart video surveillance, intelligent transportation, and human-computer interaction, traffic control, activity recognition, object tracking and behavior...

This paper present a process of failure analysis which, to some extent, can demonstrate a variety of failure process in regard to power transistors. General failure analysis process will be introduced at the beginning of this article. The test objects are power transistors which were found to be the...

Recently, the sparse representation-based classification (SRC) is getting more and more attention in many fields, such as pattern classification, which has been successfully applied to face recognition. However, the essence of SRC, within face recognition, is to use the linear combination in the same...

Follow the development of Internet, more and more opinion texts are written on social media web by people, and it is very difficult to find the features in these texts because of the texts scale. We propose an algorithm to find features from key words by words reduction method, which considers the correlation...

Linear support vector regression (SVR) is a popular machine learning algorithm. However, as the amount of data increases, the learning procedure of SVR becomes time consuming. In this paper, we propose a mini-batch quasi-Newton optimization algorithm to speed up the training process of linear SVR. The...

Most techniques of DoS attack are single-model, which have the disadvantages of low attack efficiency and weak adaptability. This paper presents a blended-mode DoS attack mode and we focus on the analysis of the efficiency of this mode. In this mode, we combine different DoS attack modes to attack the...

Current real-time task scheduling algorithm only focus on the user tasks’ real-time demand, and these algorithms are not flexible enough to adapt for real-time change in heterogeneous systems. In this paper, by means of the characteristics of global optimization searching of genetic algorithm, from the...

Traditional access control model in building safety regulation is not flexible enough in some scenarios, especially in emergency events, which may lead to the alarm events not promptly treated. In order to solve this problem, we design a context-aware access control model which uses RFID technology to...

Recommender system has been extensively studied to provide the most relevant data to users in this era of information explosion. Among all kinds of recommendation algorithms, collaborative filtering (CF) algorithm is one of the most famous ones because of its high accuracy and simple implementation....

The polymerization of acrylamide was initiated by complex redox system in aqueous solution.Meanwhile, according to the best experimental craft,we conducted a pilot-scale polymerization of acrylamide.We studied the effects of different pilot experiment intrinsic viscosity of the polymer, dissolution time,...

Building a visualization algorithm platform is the first step and very important part of computer graphics research. In this paper, we describe a new method to implement computer graphics algorithm based on Autodesk Maya. By creating the node is to be integrated directly into the Dependency Graph, we...

In order to avoid overheating due to bus power supply system that will cause major accidents, we need to monitor the temperature of high-voltage switch cabinet in the narrow space. This paper designs a wireless intelligent bus temperature measurement system based on Zigbee networks. The application of...

Sparse representation has been extensively applied to image recognition, while learning appropriate dictionaries for image content representation plays a critical role in it. An approach to simultaneously learn a common dictionary and multiple class-specific particular dictionaries achieves state-of-the-art...

Satellite communication networks would become one of the most prevalent communication system for the increasing demand for high-speed multimedia services and the underutilization of scarce satellite spectral resource. Considering resource optimization under multi-priority services and various link states...

This paper mainly analyzes how to ease the Ebola epidemic and develops a drug distribution program, including the transportation destinations of drugs and other circumstance. On the basis of possessing the drugs, we need to build a realistic, sensible, and useful method in the prevention and control...

Most of existing anonymous communication systems adopt “mixes” nodes to encrypt and relay the communication messages. Extensive works have been done on this field to find methods that can effectively resist the attacks. However, the adversaries can perform the attacks through the relationship between...

With the development of economic and the growth of the city, the number of vehicles has also increased rapidly, parking problems continue testing the ability of the city's public services. To solve this problem, we hope to find a more accurate and more convenient program to find the car, so we propose...

Detection and tracking of multiple moving targets in complex conditions has always been a hot and difficult problem, which mainly includes that the tracked target is occluded, the characteristics of target and background are similar, illumination and background are changing over time, etc. In order to...

Considering the high speed space targets, the real time processing is required with only a few snapshots. Meanwhile, the algorithm based on state space method performs well in the parameter estimation. In this work, we present a novel Direction of Arrival (DOA) estimation based on state space balance...

In recent years, Unmanned Aerial Vehicle(UAV) is widely used for power lines patrol. While it's more efficient than manually patrolling, the UAV may easily collide with power lines. So measures must be taken to detect the distance between UAV and power lines. This paper presents a real time power line...

Demand response in power demand side management plays an important role. In this paper, we achieve the user electrical equipment monitoring through selecting of appropriate scale of residential customers, according to different power consumption behavior pattern, through the deployment of interactive...

In China, countless docking problem always exists in the agricultural production and marketing process. It often leads to blind planting and unsalable depreciated phenomena. Although the e-commerce is a good idea of exchanging supply and demand information and reducing the circulation cost, it faces...

In recent years, a new technology, container, has been developed rapidly. More and more services are deployed on a container. In order to ensure the high performance and high availability of these services, a system which can provide the technology of high availability is essential. Container, as we...

Inspired by the characteristics of sparse representation, we consider to recognize three military targets. To overcome the target-aspect sensitivity in radar high resolution range profile (HRRP), an improved dictionary learning algorithm, called auto-optimized fast K-SVD (AOF-KSVD), is proposed in this...

Music feature extraction is widely used in music recommendation system. The recommended music is somewhat similar in the form of melody. This phenomenon exhibits a repeating pattern that between the music set and the recommended one, which reveals that the similar music has the characteristics of fractal...

Exception Handling in Java and other languages make it possible to raise exception and attaching exception handlers to particular blocks of code. In most research, more people focus on testing of exception handling of programs, Alexandre L. Martins [1] force the execution of exceptional path to improve...

Multicore system is processors and the high speed network adapter is very common in cloud computing. So it becomes more and more important to make full use of recourses such as CPU, memory and I/O devices. However, traditional system architecture just consider about CPU and memory, cannot meet the need...

For problems in the process of building central air conditioning system to participate in demand response, including non-uniform communication protocol, non-uniform information model and lack of demand response strategy, we put forward the thinking and concrete scheme of research and development of the...

With the datacenter becomes increasingly large in size, the energy consumption in datacenter grows rapidly. Energy saving in datacenter becomes a big theme. In multicore environment, virtualization provides an effective way to address this problem. Virtual machines (VMs) with their own tasks are run...

For only one node assisting the cluster head node to send information in wireless sensor network cooperative transmission, an opportunity cooperative MIMO transmission scheme is proposed based on gradient algorithm. The results of analysis and simulation show that the cooperative transmission schemes...

We have designed a high-performance hydraulic controller for the hydraulic servo system with nonlinear characteristics based on the technology, which the high-performance TMS320LF2407 DSP has been adpoted as main processor chip. With the designed controller, we have developed a new set of hydraulic servo...

Previous research uses eye blink sensor technology to detect driver's fatigue, which has some limitations in the condition of wearing glasses and lighting changes. To overcome those problems, this paper proposes a way to detect fatigue for drivers through video images and grip forces on steering wheel....

We use USB camera and IMAQ vision to program on LabVIEW platform.We process the contionuous acquistion of image,include adjusting the brightness,contrast,gamma value of image, and cut the image with a specified path.the design is low cost,easier implementation and flexible operation ,It's have good prospects...

With the extensive application of machine learning. Deep convolution neural network (DCNN) learning method is developed on the basis of a multi-layer neural network for image classification and identification of specially designed. It has been improved and applied for single image super-resolution problem...

In order to make the transformer insulation aging assessment and life prediction more reasonable, we established transformer evaluation model based on the operating load, environmental factors, the electrical characteristics of the experiment and oil chromatographic characteristics. Then we applied the...

Under the background of big data recent studies have revealed that emerging modern machine learning techniques are advantageous to statistical models for credit risk evaluation, such as SVM. In this study, we discuss the applications of the evolution strategies based support vector machine with mixture...

We proposed a method to resolve the problem of optical system defocus phenomenon by using the chromatic aberration of the single lens optical imaging system through reverse thinking. Furthermore, we designed and built the production which use SDRAM to collect data for CMOS image information literacy...

We designed a multi-software-hybrid-programming digital image processing software for high definition single lens digital imaging system. In this digital image processing software system, LabVIEW ,MATLAB,Quartus ii and C++ are all employed to call DLL library to invoke the CMOS, read data, process image...

Based on OpenGL and Google library we established the target model library and the canny operator is used for edge detection. Combined with D-S evidence theory and Pseudo-Zernike moments, the air target recognition algorithm based on information fusion is proposed. Pseudo-Zernike moments are invariant...

This paper addresses the problem of scheduling jobs on parallel machines with machine eligibility restrictions so as to balance the workload among machines. A weighted bipartite graph model G=[J M,E,W] is used to formulate the studied problem. We propose a two-phase algorithm to find the optimal solution....

Image-based 3D reconstruction has many applications, but the reconstruction process is really time-consuming. In this paper, we have discussed several existing methods which can speed up the reconstruction, but many of them have their own limitations. After the analysis of image-based 3D reconstruction...

In order to enhance the accuracy of precision marketing of goods and improve the precision of the intelligent search engine, we build the confidence model of commodity by means of using the fuzzy comprehensive evaluation method, to calculate the commercial confidence, which can be used as the foundation...

Recently, natural disasters like earthquake, flooding, and landslides evoke our intensive awareness. The first priority to be concerned is the home status left by people, because from which can we largely estimate the damage level of the catastrophe and manage the rescue action better. However, to investigate...

This study examines the governance of how external auditors (EAs) rely on internal audit function (IAF) from a new perspective. We use Signaling Theory embedded in a Throughput Model to trace the sub-processes of different stages of the reliance decision. We consider the last revision made to the International...

Automotive industry in the Czech Republic is important and highly monitored. The reason for this is mainly the fact that the automotive industry contributes significantly to the formation of GDP, according to Ministry of Industry and Trade (MIT, 2015) 15% long-term profit is made in the automotive sector....

This study addresses the case of Toshiba's fraudulent accounting in 2015 and examines its implications for setting accounting standards while considering the linkage between theory and practice. If this case is not an isolated case, then what is the problem with the existing accounting standards? The...