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The security inspection robot is mainly used for large-scale warehouse security and automatic inspection of various warehouses, community security inspections, industrial site monitoring and other automated inspections. The security inspection robot uses the SLAM algorithm to map the inspection target...

The article deals with the development of fuzzy cognitive models of the processes of analysis and management of the quality of education as a multifactor system. The approach based on definition of trajectories of achievement of target indicators of education quality with the use of technologies of knowledge...

In order to solve the problems of optimal division of rice irrigation map into checks, “RIS” software package was developed which implements dynamic programming methods and works on the basis of Windows operating system. The algorithm of design block operation is described based on a dynamic programming...

The anthropogenic impact of mining industry on the environment and population is considered. Considerable attention is paid to the environmental safety of human life in terms of the toxicity of mineral raw materials mined in the areas of the “China- Mongolia-Russia” economic corridors. The objects of...

Globalization has subjected corporations to multi-jurisdictional tax systems. As a result, cross-border entities are exposed to the possibility of being audited and undergoing tax adjustments more than once for their transactions. In addition, various states’ measures — such as Tax Information Exchange...

Based on the fact that the debutant voters is one of the potential voters in every election and it have a big number of vote in this present democratic era. So the debutant voters is one of the main targets in any kind of political campaigneither for political party or the candidates leaders in the election,...

In recent decades, new forces, such as China, Russia and Brazil, have emerged in the international contemporary art market as part of the creative economy. At the same time the art market is becoming more visible globally, with the same art galleries and the same artists can be exhibited in different...

This paper presents a neural network enhanced stereo vision obstacle detection and avoidance system for unmanned ground vehicle. In this paper, we build a neural network to learn the mapping for the left image to the right image under the assumption of a flat road. Using the trained neural network we...

Controversy persists regarding the presence and significance of blood pressure “J-curves” of increased cardiovascular disease (CVD) risk as they relate to older people with isolated systolic hypertension (ISH). Age is an important effect modifier favoring diastolic blood pressure (DBP) in young adults,...

Since the emergence of rabies cases in human in 2008, there have been 174 humans affected by the disease in Bali. Eradication program implementing dog vaccination has seemed to decrease the incidence of rabies cases in human, however the human cases were still found. A lot of resources from local and...

Regional development is a foundation of successful national development. In order achieve better regional development process, Ternate has been preparing their capability for smart city transformation with the title of Ternate Smart Island. However, the challenges faced by the government regarding ICT...

The Camassa-Holm (CH) and Hunter-Saxton (HS) equations have an interpretation as geodesic flow equations on the group of diffeomorphisms, preserving the H 1 and H 1 right-invariant metrics correspondingly. There is an analogy to the Euler equations in hydrodynamics, which describe geodesic flow for a...

When creating artificial 3D natural scene, the terrain is complicated and working quantity is huge, relying on traditional modes for field investigation, mapping and modeling usually needs to consume rather quantity of manpower, material resource, financial resources and vigor. Rapid interception method...

In this article,we take the Kariba Dam as an example and analyze the number and location of new small dams in detail through Exponential estimation method and Gray Analytic Hierarchy Process. Then,we set up a model and put forward the concrete strategy of regulating water flow. We firstly make a simple...

Based on BIM technology, this paper expatiates on the application concept of BIM in the current construction and installation project. Through the application of Autodesk Revit in the construction of building model and the application of integrated design in pipeline, electromechanical and so on, the...

The aim of this study is to examine research hotspots of MOOC in China.We conducted a keyword co-occurrence analysis of more than 6000 MOOC papers recorded in CNKI. The study reveals that there are five hotspots. In future, we should pay attention to the following aspects, including development strategy,...

In recent years, image dehazing has become an active topic in computer vision. This paper presents a novel dehazing method based on adaptive clustering and image fusion for restoring a single image degraded by fog or haze. Firstly, the coarse-scale transmission map is addressed based on adaptive clustering...

During the process of defect spot recognition among metal solder joint, if the defect spot is responsible characteristic within small region, the traditional identification method of metal solder joint defect spot is based on sparse representation, unable to express details of characteristics in small...

We extract the chaotic characteristics of multiple physiological signals in this paper, and the relevant algorithms for extracting chaotic characteristics are given respectively. Based on different algorithms we respectively calculate four kinds of chaotic characteristic parameters from multiple physiological...

This paper presents a terrain rendering technique for large, textured terrain, which uses Parallel-based error metric. In a preprocess, the domain was first tiled and computed into a nested geometric space error map based on geographic theory, taking the advantage to save displaying memory with terrain...

For solving effect and real-time performance problems of lunar surface image, the paper proposed an eliminating brightness differences algorithm of lunar surface image by correlation of color components fitting gray level map function. Feature points were obtained by matching in process image, which...

Focusing on the uncertainty of the environment, a grid map building method based on the multi ultrasonic sensors is provided. Firstly, the single ultrasonic sensor grid model is constructed by dividing the detected area into three regions. Then the evidences which are needed to fuse are self-adaptively...

To solve the estimator’s inconsistency in calculating the proposal distribution and the particles degeneracy phenomenon of the Rao-Blackwellized particle filter (RBPF), an improved method of RBPF based on fusing Precision laser pre-observation information particle swarm optimization (PSO) is proposed...

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...

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...

All-sky autonomous star map identification has come up with higher requirement on calculating speed and storage space. Error caused by rotation and location noise influences the performance of star image identification algorithms. So various algorithms include procedure of rotating star image to the...

In the intelligent optical networks, there are two key problems in the long-distance and high-speed intensive service transmission. First one, the sharing scheduling problem of the optical networks resources, namely the privacy problem. Second problem, users of network services require high-quality,...

Mind mapping plays an important role in the learning and training English vocabulary, reading and writing English. In the learning of English through mind maps, a mind map with relevant learning content is to be drawn via the mind mapping software, but current graphics have many drawbacks and deficiencies....

Relevance vector machine (RVM), a sparse Bayesian kernel method in machine learning, has been well-known for its sparsity and probabilistic predictions. Like other kernel methods, it use the kernel functions to map the input instances into higher dimensional space for problem simplicity. At present,...

The main objective of this study is developing a linguistic cluster model in order to meet the public security index requirement and extract crime rule in time series. In contrast to the current studies in crime theory which mostly rely on traditional behavior science, we turned to a hybrid approach...

This paper presents a novel approach to natural scene segmentation. It uses both color and texture features in cooperation to provide comprehensive knowledge about every pixel in the image. A novel scheme for the collection of training samples, based on homogeneity, is proposed. Natural scene segmentation...

In this paper we present a novel dense matching algorithm that relies on sparse stereo data in order to build a dense disparity map. The algorithm uses a recursive updating scheme to estimate the dense stereo data using various interpolation techniques. The major problem of classical template matching...

The self-organizing map (SOM), as a kind of unsupervised neural network, has been applied for both static data management and dynamic data analysis. To further exploit its ability in search, in this paper, we propose an SOM-based search algorithm (SOMS) for dynamic systems, in which the SOM is employed...

In this paper, a progressive road analyzes using fuzzy technique is proposed. In this system, only the low cost GPS receivers are used. The road attribute and map are constructed only using the received data.

In this paper, we issue a hybrid system, which is integrated with the fuzzy system and Petri net models. We exploit the characteristics, imprecise or ambiguous information, of fuzzy theory to map the algorithm of crisp inputs and outputs, furthermore, model problems, product a nonlinear function, and...