The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The research of false alarm judgment method has great significance to identify real alarms timely, to response emergency rapidly and monitor network security status correctly. In this paper, in the point of view of alarm data distribution, several methods of false alarm decision are elaborated, and the advantages and disadvantages of each method are analyzed. Studying the false alarm judgment analysis...
Terrestrial 3D laser scanning technology has provided a new method for obtaining the spatial information of urban buildings, because of its high accuracy and contactless model, can obtain large amount of 3D coordinates point cloud data of the target. This paper describes in detail the office and field work process and key technologies of the spatial information acquisition of urban buildings using...
Recently, densified small cell deployment with overlay coverage through Heterogeneous Networks (HetNets) has emerged as a viable solution for 5G mobile networks. Cell Outage Detection (COD) which is the essential functionality in Self-Organizing Network (SON) is designed to autonomously deal with unexpected faults. Typical methods for detecting cell outage are usually based on Manual Drive Tests (MDT)...
Credit data, the data that describes the attributes of customer credit collected by enterprises or institutions, which contains a wealth of credit information, is the important basis of customer credit scoring. Using data mining technology to analyze the credit data and evaluate credit of customer has become a highly efficient method for customer credit estimation. Related research has become a hot...
Advertising delivery is the key in the real estate industry. This paper proposes a big data assisted customer analysis and advertising (BDCAA) architecture. Its aim is to precisely seek potential users and improve the efficiency of advertisement delivery. The proposed BDCAA architecture consists of three stages, including user 360-degree portrait and users segmentation, potential customer mining,...
As the development of modern industry, fault diagnosis technology is becoming one of the major issues. A novel fault diagnosis approach is presented for rolling bearing system based on support vector machine (SVM) in this paper. Data acquired for rotatory machinery has a large quantity as well as a high dimensionality, both principal component analysis (PCA) method and linear discriminant analysis...
In this paper, we have established a forecasting model of atmospheric pollution. The forecasting model which combines with data mining techniques and BP neural network algorithm is based on the monitoring data of air pollution obtained from Shijiazhuang air quality monitoring stations. Firstly this model uses the data mining technology to find the factors which affect air quality. Secondly it uses...
Every basketball game has a lot of game records, also called match data. All the data are not only statistical but also logical and spatial. People normally use these kind of data to obtain statistical or summarized information of the games, but few have used these data to analyze the teams' tactics. In this paper, we present an approach to analyze the match data for detecting basketball teams' tactic...
This paper studied the problems of parameter system construction for large-scale Internet of Thing situation assessment. It also states the research of situational awareness and assessment of IP network briefly, the situation assessment differences between Internet of Thing and IP network are dicussed, for some especial aspects and the significance about large-scale Internet of Thing situation assessment...
A new method for generation of an attribute hierarchical diagram is proposed in this paper, which is based on the hierarchical optimized formal context. Firstly, this paper introduces the method of hierarchical optimization of formal context. Then by using this method, optimize the formal context which extracts from a set of related syndromes occurring in spleen and draw the hierarchical diagram of...
In order to solve the problems that how to mine and express classification knowledge and rules in compatibility of prescription, this paper introduces a new theory of formal concept analysis (FCA), and realizes the compatibility of prescription knowledge mining. Meanwhile, the prescription drugs of reverting yin disease treatment in Treatise on febrile diseases are selected to apply the FCA theory...
In this paper, a new Web-based English-Chinese bilingual dictionary construction pattern is established on the basis of the fusion of the reverse hierarchical alignment. On the one hand, English-Chinese bilingual corpora are collected based on Web mining. On the other hand, unlike the traditional alignment manner from sentence level to word level, the reverse alignment and verification from word level...
Multi-string matching is one of the most important components in data mining task. New applications in many technology fields require high performance string matching algorithms. This paper first presents a new string searching approach based on a data structure called prefix tree. The innovative algorithm eliminates the functional overlap of the table HASH and Prefix Function. Then we make a little...
Processing missing value is one of the most important task in data mining. A great many applications, such as social commercial record, biological systems and remote sensing network, in which not only data values from particular features but even data dimension information may also be missing. Such missing values are known as dimension missing values-standard operation over these data may result in...
A new concept of vibration sieve based on parallel kinematic mechanism (PKM) is proposed in this paper and a novel 2-DOF spatial parallel mechanism is also designed here. The screen box fixed on the moving platform of the parallel mechanism poses an independent vertical translation and two rotations (one rotation is independent and the other is derivative). The trajectory of the screen-surface appears...
With the exponentially growing amount of information available on the Internet, retrieving web pages of interest has become increasingly difficult. While several web page recommender systems have been developed, it is still difficult to search related information which reflects users' preference. In this paper, we propose a new type of web page search which is based on the collective intelligence...
Channel allocation is an important area of research in open spectrum networks which asserts a significant impact on the spectrum utilization and the fairness among users. This paper studies the optimization of channel allocation, considering multiple objectives. For each objective, a binary programming model is described. Then a new optimization objective called fairness constrained maximum throughput...
In order to save the consumption in terms of instruction and storage, to simplify the code, and to enhance the coding quality, this paper, based on the architecture design of the stereo encoder, has analyzed the arranging relationship between the channel and the block in each frame and has optimized the data process and the looping mode of the current encoder. In addition, the start points and the...
Protein-protein docking is the computational approach to predict protein-protein interactions. The 3D geometric matching plays an important role in docking because a good matching between proteins provides a good cue for searching the interactional interfaces between them. In this paper, we propose a graph-based approach to search for the protein binding site. Given two proteins, we first identify...
Considering that travel routing costs change with time against the background of reverse logistics, this paper presents the time dependent vehicle routing problem of simultaneous delivery and pick-up (TD-VRPSDP), and establishes the mixed integer programming model of TD-VRPSDP. The pheromone updating strategy based on rank-based ant colony system and max-min ant system algorithm are used for solving...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.