35 Result(s)
within
Chapter
Conference Paper
**nlong Yang
Computer Science
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Chapter and Conference Paper
Crossing Effects Analysis Between Routing and MAC Protocol in Mobile Ad Hoc Networks
Most of MANET routing protocol simulations haven’t considered crossing effects of routing protocol and MAC protocol. In this paper, statistical method based on Multi-variance analysis is applied to evaluate th...
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Chapter and Conference Paper
Deadline Probing: Towards Timely Cognitive Wireless Network
A confidential and effective probing is fundamental to a cooperative and cognitive wireless network. Previous seminar works are not deadline sensitive, and often suffer from highly dynamic multi-channel enviro...
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Chapter and Conference Paper
A Miniature Robot System with Fuzzy Wavelet Basis Neural Network Controller
This paper described the structure of a flexible miniature robot system which can move in human cavities, it makes inchworm-like movement driven by a 3-DOF pneumatic rubber actuator and holds its positions by ...
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Chapter and Conference Paper
Force Identification by Using SVM and CPSO Technique
A novel method is presented to determine the external dynamic forces applied on structures from measured structural responses in this paper. The method utilizes a new SVM-CPSO model that hybridized the chaos p...
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Chapter and Conference Paper
Electric Field Simulation of Electrospinning with Auxiliary Electrode
The low production rate of electrospinning process may limit the industrial use of single needle system. Multiple needles can be used to improve the throughput. But the jets bend outward because adjacent elect...
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Chapter and Conference Paper
Investigations into the Cognitive Conceptualization and Similarity Assessment of Spatial Scenes
Formally capturing spatial semantics is a challenging and still largely unsolved research endeavor. Qualitative spatial calculi such as RCC-8 and the 9-Intersection model have been employed to capture humans’ ...
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Chapter and Conference Paper
Assessing Similarities of Qualitative Spatio-temporal Relations
In this article we analyze behavioral data to advance knowledge on how to assess similarities of events and spatial relations characterized by qualitative spatial calculi. We have collected a large amount of b...
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Chapter and Conference Paper
Fundamental Cognitive Concepts of Space (and Time): Using Cross-Linguistic, Crowdsourced Data to Cognitively Calibrate Modes of Overlap
This article makes several contributions to research on fundamental spatial and temporal concepts: First, we set out to render the notion of fundamental concepts of space and time more precise. Second, we intr...
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Chapter and Conference Paper
DPMFNeg: A Dynamically Integrated Model for Collaborative Filtering
Collaborative Filtering (CF) techniques are the mostly applied methods in real world recommender systems. There are two typical types of CF, which are memory-based and model-based CF algorithms. However, these...
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Chapter and Conference Paper
DTMF: A User Adaptive Model for Hybrid Recommendation
Due to the uneven distributions of the ratings and social relationships for each user, two types of above recommendation methods should have varying weights when make recommendations. In this paper, we propose...
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Chapter and Conference Paper
FOAM: Frequency-Offset Aware Multiple Client Selection for Cooperative Packet Recovery System
Software radio systems are playing fundamentally important role for develo** intelligent and advanced wireless network system. For cooperative network design, especially loosely coupled system, e.g., the mul...
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Chapter and Conference Paper
Discriminative Scatter Regularized CCA for Multiview Image Feature Learning and Recognition
In this paper, we propose a novel supervised canonical correlation analysis approach based on discriminative scatter regularization for multiview image feature learning. This method at the same time considers ...
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Chapter and Conference Paper
Accurate Identification of Low-Level Radiation Sources with Crowd-Sensing Networks
The use of crowd-sensing networks is a promising and low-cost way for identifying low-level radiation sources, which is greatly important for the security protection of modern cities. However, it is challengin...
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Chapter and Conference Paper
Chinese Hedge Scope Detection Based on Structure and Semantic Information
Hedge detection aims to distinguish factual and uncertain information, which is important in information extraction. The task of hedge detection contains two subtasks: identifying hedge cues and detecting thei...
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Chapter and Conference Paper
Narthil: Push the Limit of Cross Technology Coexistence for Interfered Preambles
Recent studies show that cross technology interference is critically important for emergence of innovative applications in today’s wireless networks. Existing approaches either suffer from the constraint of th...
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Chapter and Conference Paper
Estimation of Human Body Shape in Motion with Wide Clothing
Estimating 3D human body shape in motion from a sequence of unstructured oriented 3D point clouds is important for many applications. We propose the first automatic method to solve this problem that works in t...
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Chapter and Conference Paper
Jointly Learning Bilingual Sentiment and Semantic Representations for Cross-Language Sentiment Classification
Cross-language sentiment classification (CLSC) aims at leveraging the semantic and sentiment knowledge in a resource-abundant language (source language) for sentiment classification in a resource-scarce langua...
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Chapter and Conference Paper
Combining Large-Scale Unlabeled Corpus and Lexicon for Chinese Polysemous Word Similarity Computation
Word embeddings have achieved an outstanding performance in word similarity measurement. However, most prior works focus on building models with one embedding per word, neglect the fact that a word can have m...
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Chapter and Conference Paper
You Can Charge over the Road: Optimizing Charging Tour in Urban Area
Wireless energy transfer has provided a promising technology to extend the lifetime of wireless rechargeable sensor network. Most of previous studies focus on scheduling chargers or deploying stationary chargi...
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Chapter and Conference Paper
Integrating Word Sequences and Dependency Structures for Chemical-Disease Relation Extraction
Understanding chemical-disease relations (CDR) from biomedical literature is important for biomedical research and chemical discovery. This paper uses a k-max pooling convolutional neural network (CNN) to exploi...
