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Objective To assess significant liver fibrosis by multiparametric ultrasomics data using machine learning. Materials and Methods This prospective study consisted of 144 patients with chronic hepatitis B. Ultrasomics—high-throughput quantitative data from ultrasound imaging of liver fibrosis—were generated using conventional radiomics, original radiofrequency (ORF) and contrast-enhanced micro-flow...
With the ever increasing demand on computational and storage resources to deal with tremendous growth of big data, clients tend to outsource their data mining tasks to cloud service providers. Nevertheless, concerns of data integrity, security and privacy are also on the rise: how can the clients with weak computational power verify the integrity of mining results returned by the server while preserving...
With the advent of big data era, clients lack of computational and storage resources tends to outsource data mining tasks to cloud computing providers in order to improve efficiency and save costs. Generally, different clients choose different cloud companies for the sake of security, business cooperation, location, and so on. However, due to the rise of privacy leakage issues, the data contributed...
Photoplethysmography (PPG) is a kind of physiological information that can be easily disturbed by motion artifacts. Therefore,this paper paid attention to the extraction of information from PPG with motion artifacts. In the paper, a new framework that can extract heart rate(HR) information from PPG signals with severe motion artifacts is proposed, using Singular Spectrum Analysis, Real-time Clustering,...
According to the video path tracking problem of mobile, this paper proposes a path following approach based on a path extraction in HSI color space and fuzzy control. In this method, the color image captured by camera is converted from RGB to HSI color space, and the path is extracted by segmenting the captured image of environment by the method of optimal threshold based HIS module; Then the skeleton...
Ballistic target recognition is a key process in anti-missile combat. In this paper, the movement characteristics and physical characteristics of ballistic target are analyzed, some ideas or methods to save extracted information, to create template sequence and to recognize ballistic target on grey relational analysis are proposed. Based on these, we give the method to calculate the grey incidence...
The Windows CE registry plays a very important role from physical memory and contains lots of important information that are of potential evidential value in forensic analysis. Memory acquisition and analysis is the most important in Windows CE devices forensic. The paper introduces physical memory acquisition and analysis methods in Windows environment and the procedure of memory analysis on the...
Under the influence of the information technology, the traditional education faces new revolution opportunity. The online education system provides new way for the teachers and students which are more convenient and economical. To solve the problem of the existing online education system that can't meet the high adaptability and individual demand of the learner, we introduced an autonomous online...
Aimed to solve the efficiency and timeliness problems in the traditional road updating method, the authors propose a new solution based on floating car data. By the procedures of map matching, point density analysis and automatic vectorization, the authors successfully extract plenty of new roads. The validation result shows that the method proposed here is a more efficient and timely way to update...
With the rapid development of online shopping, electronic commerce has offered a new channel for instant on-line shopping. It is necessary for company to on-line one-to-one market to e-shoppers. Therefore, the ability to predict e-shoppers' purchase behavior basing on data mining has become a key source of competitive advantage for company. Frequently occurring sequential patterns, identified in sequences...
The variety of subscriptions and CW in Conditional Access System (CAS) of DVB broadcasting network bring complexity to the key distribution scheme. In this paper, an innovation of grouping key distribution scheme for CAS in DVB broadcasting is proposed to reduce the computation of encryption and the number of messages for key refreshment. Compared with the conventional key distribution scheme, our...
Caching can improve the browser's efficiency, this paper proposes one distributed sharing model of the browser cache: each end-host's address and the Web site URL address are mapped to the identical key space, the storing information of the shared cache mapped to key k is saved on the same key k mapped end-host; it also presents a distributed lookup protocol with a constant O(1) hop per lookup request,...
To resolve the problem of large angle and large scale image registration, an improved approach combining log-polar and SIFT is proposed. Firstly, the log-polar technique is implemented in order to achieve the preliminary registration result as well as estimate the arbitrary rotations parameters and large scale changes. Secondly, image is segmented into sub-blocks and six candidates of sub-blocks are...
Traditional speech recognition methods based on static features of a word to justify whether the word is correctly recognized or not, which neglected the information carried by its contexts and the surrounding environment.In this paper,a 14.1% word error rate (WER) speech recognizer (SR) is used as the baseline system,and 10-dimension static features achived 24.9% decline of Classification Error Rate...
The question of finding the community structure of a complex network has been addressed in many different ways. Here we utilize a clustering method called affinity propagation, associating with some existent measures on graphs, such as the shortest path, the diffusion distance and the dissimilarity index, to solve the network partitioning problem. This method considers all nodes as potential exemplars,...
Honeycomb paperboard has developed rapidly because of its hexagon core structure in casing area. One of the reasons is that honeycomb paper can prevent or lighten the vibration and concussion in the process of transportation. Existent anomalistic hexagon structure of the honeycomb paperboard has an impact on its antivibration characteristics. The antivibration effect of different anomalistic honeycomb...
Marine current is a typical spatio-temporal process. Through numerical simulation and model calculation, a large amount of 3D data fields of marine phenomenon is obtained, spatio-temporal model can effectively store, organize, manage and improve the spatial and temporal semantics of geographic objects. It can more accurately reproduce history, track changes, and predict the future. Temporal database...
Although there are a large number of researches on inventory control of supply chain, the majority of the literatures did not take account of productpsilas deterioration while studying inventory system of multi-stage supply chain. On basis of the previous literatures, this paper studies inventory control of perishable product in one-to-one supply chain, obtains optimal retailerpsilas inventory strategy...
In this work, we explore a supply chain where the supplier considers whether to open a direct selling channel complementing with the retailing channel, and as a response, the retailer considers whether to introduce his store brand. We model this relationship by a four-stage dynamic game. We show that there exists an equilibrium solution for this game where the direct selling and store brand introduction...
Mobile informational strategy has a higher demand on the network supporting system and aims at the implementation of user oriented service management. As the indexes of customer perception are the direct reflection of the network quality, it is particularly important to analyze the indexes. In this paper, varieties of factors affecting customer experiences on the network quality are analyzed. A customer...
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