785 Result(s)
within
Algorithm Analysis and Problem Complexity
Computer Communication Networks
Information Storage and Retrieval
**mo Wang
Chapter
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Chapter and Conference Paper
Energy-Efficient Dynamic Consolidation of Virtual Machines in Big Data Centers
There is a rapidly growing demand for computing power driven by big data applications, which is typically met by constructing large-scale data centers provisioning virtualized resources. Such data centers cons...
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Chapter and Conference Paper
A Novel Clustering Solution for Wireless Sensor Networks
Wireless Sensor Network (WSN) deploys a large amount number of nodes into its monitored range, where watchers can monitor the real-time environment parameter by compressing packets transferred by the cluster h...
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Chapter and Conference Paper
Gazes Induce Similar Sequential Effects as Arrows in a Target Discrimination Task
Symbolic cueing paradigm has been widely used to investigate the attention orienting induced by centrally-presented gaze or arrow cues. Previous studies have found a sequence effect in this paradigm when arrow...
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Chapter and Conference Paper
Weighting Features Before Applying Machine Learning Methods to Pulsar Search
In recent years, different Artificial Intelligence methods have been applied to pulsar search, such as Artificial Neural Network method, PEACE Sorting Algorithm, Real-time Classification method. In this paper,...
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Chapter and Conference Paper
Online Shop** Recommendation with Bayesian Probabilistic Matrix Factorization
Recommendation system plays a crucial role in demand prediction, arousing attention from industry, business, government and academia. Widely employed in recommendation system, matrix factorization can well cap...
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Chapter and Conference Paper
Sentiment Analysis of Movie Reviews Based on CNN-BLSTM
Sentiment analysis has been a hot area in the research field of language understanding, but complex deep neural network used in it is still lacked. In this study, we combine convolutional neural networks (CNNs...
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Chapter and Conference Paper
Transfer Learning for Music Genre Classification
Modern music information retrieval system provides high-level features (genre, instrument, mood and so on) for searching and recommending conveniently. Among these music tags, genre is the most widely used in ...
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Chapter and Conference Paper
Improved CNN Based on Super-Pixel Segmentation
Convolutional neural network has unique superiority in images processing, it can effectively extract features and reduce data dimensions by convolution and pooling. But it takes the “violent segmentation” meth...
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Chapter and Conference Paper
Two Stages Empty Containers Repositioning of Asia-Europe Ship** Routes Under Revenue Maximization
The problem of empty containers repositioning (ECR) is to dispatch the empty containers coupled with laden containers transportation flow between the surplus ports and the deficit ports according to the fixed ...
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Chapter and Conference Paper
Traffic Parameters Prediction Using a Three-Channel Convolutional Neural Network
Traffic three elements consisting of flow, speed and occupancy are very important parameters representing the traffic information. Prediction of them is a fundamental problem of Intelligent Transportation Syst...
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Chapter and Conference Paper
TPS: An Efficient VM Scheduling Algorithm for HPC Applications in Cloud
Cloud computing platforms are becoming viable alternative for running high performance parallel applications. However, when running these applications in cloud platforms, VMs (virtual machines) are easily affecte...
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Chapter and Conference Paper
A Functional Model of AIS Data Fusion
In recent years, maritime situational awareness based on the fusion of AIS (Automatic Identification System) data has attracted more and more researchers. However, the diversity of terms and methodologies hind...
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Chapter and Conference Paper
A Coding Efficiency Improvement Algorithm for Future Video Coding
Motion estimation is critical in motion coding. However, the fixed pattern of search center decision method in HEVC is lack of precision. Taking advantage of the surrounding coding unit information, a universa...
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Chapter and Conference Paper
Discrete Cuckoo Search with Local Search for Max-cut Problem
Max-cut problem is a well-known NP-hard problem, in this paper, a hybrid meta-heuristic algorithm is designed to solve it. In this algorithm, the discrete cuckoo search is employed to find the approximate sati...
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Chapter and Conference Paper
An Efficient and Secure Design of Redactable Signature Scheme with Redaction Condition Control
Digital signatures, with the properties of data integrity and authenticity authentication, protect a signed message from any alteration. However, appropriate alteration of signed message should be allowed for ...
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Chapter and Conference Paper
Decomposable Relaxation for Concurrent Data Structures
We propose a relaxation scheme for defining specifications of relaxed data structures. It can produce a relaxed specification parameterized with a specification of a standard data structure, a transition cost ...
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Chapter and Conference Paper
A Compact In-memory Index for Managing Set Membership Queries on Streaming Data
Membership query of dynamic sets is essential for applications which generate or process a continuous stream of data items. These applications often require to cache items dynamically and answer membership que...
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Chapter and Conference Paper
NCFR: Network Coding Fair Routing for Multi-success-rate Wireless Sensor Networks
Recently network coding has become a promising approach to improve the network throughput in wireless networks. However, the existing network coding-based routing protocols can’t well work at improving the net...
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Chapter and Conference Paper
BigDataBench-MT: A Benchmark Tool for Generating Realistic Mixed Data Center Workloads
Long-running service workloads (e.g. web search engine) and short-term data analysis workloads (e.g. Hadoop MapReduce jobs) co-locate in today’s data centers. Develo** realistic benchmarks to reflect such pr...
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Chapter and Conference Paper
Maximizing the Spread of Positive Influence Under LT-MLA Model
Since the steady development of online social networks, it has resulted in wide-spread research works in the social network analytical areas, especially in the area of influence maximization. Previous works st...
