35 Result(s)
within
Computer Science
Database Management
Information Systems Applications (incl. Internet)
Systems and Data Security
**qi Zhou
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Chapter and Conference Paper
Multi-sensor Fusion Detection Method for Vehicle Target Based on Kalman Filter and Data Association Filter
Multi-sensor data fusion is an emerging technology, which has been widely used in medical diagnosis, remote sensing, inertial navigation and many other fields. What’s more, the implementation and application o...
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Chapter and Conference Paper
Anomaly Detection Based on Isolated Forests
Anomaly detection plays an important role in big data, which deals with high dimensional data effectively and quickly. In this paper is going to propose an anomaly detection method based on isolated forests. I...
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Chapter and Conference Paper
Experiments of Federated Learning for COVID-19 Chest X-ray Images
AI plays an important role in COVID-19 identification. Computer vision and deep learning techniques can assist in determining COVID-19 infection with Chest X-ray Images. However, for the protection and respect...
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Chapter and Conference Paper
Design of Abnormal Behavior Detection System in the State Grid Business Office
Nowadays, with the popularization of electricity, the status of grid business office in people’s lives has become more and more important. Grid business office often have a large flow of people, so it becomes ...
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Chapter and Conference Paper
Revisit Raft Consistency Protocol on Private Blockchain System in High Network Latency
Raft’s good performance in the CFT system makes it a mainstream implementation solution for the consistency of the private chain system. However, we found in practice that Raft’s performance degradation is ver...
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Chapter and Conference Paper
Exploiting API Description Information to Improve Code Comment Generation
Code comments can improve the readability of program and help the programmer to efficiently promote the maintenance of the software. Therefore, the code comment generation task has important research significa...
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Chapter and Conference Paper
An Information Identification Method for Venture Firms Based on Frequent Itemset Discovery
In recent years, the emergence of a large number of venture firms has brought great profits to venture capital firms. However, it is not easy to identify venture firms with investment prospects. Therefore, bas...
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Chapter and Conference Paper
A System for Risk Assessment of Privacy Disclosure
The wide spread and sharing of considerable information promotes the development of many industries such as the health care and so on. However, data owners should pay attention to the problem of privacy preser...
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Chapter and Conference Paper
Adaptive Loading Plan Decision Based upon Limited Transport Capacity
Cargo distribution is one of most critical issues for steel logistics industry, whose core task is to determine cargo loading plan for each truck. Due to cargos far outnumber available transport capacity in st...
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Chapter and Conference Paper
An Efficient Secondary Index for Spatial Data Based on LevelDB
Spatial data has the characteristics of spatial location, unstructured, spatial relationships, massive data. However, the general commercial database itself is difficult to meet the requirements, it’s non-triv...
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Chapter and Conference Paper
Path Query Processing Using Typical Snapshots in Dynamic Road Networks
The shortest path query in road network is a fundamental operation in navigation and location-based services. The existing shortest path algorithms aim at improving efficiency in the static/time-dependent envi...
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Chapter and Conference Paper
Decentralized Embedding Framework for Large-Scale Networks
Network embedding aims to learn vector representations of vertices, that preserve both network structures and properties. However, most existing embedding methods fail to scale to large networks. A few framewo...
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Chapter and Conference Paper
Finding Attribute Diversified Communities in Complex Networks
Recently, finding communities by considering both structure cohesiveness and attribute cohesiveness has begun to generate considerable interest. However, existing works only consider attribute cohesiveness fro...
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Chapter and Conference Paper
DDFL: A Deep Dual Function Learning-Based Model for Recommender Systems
Over the last two decades, latent-based collaborative filtering (CF) has been extensively studied in recommender systems to match users with appropriate items. In general, CF can be categorized into two types:...
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Chapter and Conference Paper
Multi-View Matrix Completion for Clustering with Side Information
In many clustering applications, real world data are often collected from multiple sources or with features from multiple channels. Thus, multi-view clustering has attracted much attention during the past few ...
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Chapter and Conference Paper
Edge Role Discovery via Higher-Order Structures
Previous work in network analysis has focused on modeling the roles of nodes in graphs. In this paper, we introduce edge role discovery and propose a framework for learning and extracting edge roles from large...
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Chapter and Conference Paper
Analysis of Signaling Overhead and Performance Evaluation in Cellular Networks of WeChat Software
The instant communication software such as WeChat, QQ and Fetion becomes popular with the rapid development of mobile terminals and wireless personal communication technology. To refresh the online or offline ...
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Chapter and Conference Paper
Key Properties of Connectivity in Vehicle Ad-hoc Network
Finding the key properties of connectivity in Vehicle Ad-hoc Network (VANET) is an important challenge because of a wide geographic range, an uneven distribution of vehicles, and low coupling of interconnectio...
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Chapter and Conference Paper
A Sliding Window Method for Online Tracking of Spatiotemporal Event Patterns
Online Tracking of Spatiotemporal Event Patterns (OTSEP) is important in the fields of smart home and Internet of Things (IoT), but difficult to be resolved due to various noises. On account of the strong lear...
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Chapter and Conference Paper
A Collaborative Rear-End Collision Warning Algorithm in Vehicular Ad Hoc Networks
How to solve rear-end collision warning problem has become an increasingly tough task nowadays. Numerous studies have been investigated on this field in past decades, either time-consuming or with strict assum...
