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Chapter and Conference Paper
Universal Adaptor: A Novel Approach to Supporting Multi-protocol Service Discovery in Pervasive Computing
Service discovery is an important and challenging issue in pervasive computing. To date, many service discovery protocols have been proposed and new ones are under development. However, pervasive computing inv...
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Chapter and Conference Paper
Distributed Processing in Wireless Sensor Networks for Structural Health Monitoring
Wireless Sensor Networks (WSNs) have found many applications in a variety of ubiquitous computing environments. One of the key applications is Structural Health Monitoring (SHM) which seeks to monitor the func...
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Chapter and Conference Paper
A Generic Distributed Monitor Construct for Programming Process Synchronization in Distributed Systems
The monitor construct has been implemented in several concurrent and/or parallel programming languages for shared-memory system environments, Extensions of the monitor to support process synchronization in dis...
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Chapter and Conference Paper
A New Particle Swarm Optimization Algorithm and Its Numerical Analysis
The speed equation of particle swarm optimization is improved by using a convex combination of the current best position of a particle and the current best position which the whole particle swarm as well as th...
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Chapter and Conference Paper
GA-Based Integral Sliding Mode Control for AGC
This paper addresses an integral sliding mode control approach for automatic generation control (AGC) of a single area power system. Genetic algorithm (GA) is employed to search the parameters of the sliding s...
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Chapter and Conference Paper
Asymmetric Information Game Analysis of the Energy-Saving Building Market and the Policy
Aiming at the problem of “market failure” in the domain of energy efficiency buildings, the principle of asymmetric information is discussed through the economic theory. Then an adverse selection game model of...
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Chapter and Conference Paper
Protocol to Compute Polygon Intersection in STC Model
Intersection and union of convex polygons are basic issues in computational geometry, they can settle lots of matters such as economy and military affairs. To solve the problem that traditional method of makin...
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Chapter and Conference Paper
Stable Frequency Transmission Emerging from Spiking-Timing-Dependent Plasticity in Spiking Neural Network
Cerebral information processing is fast, intelligent, and robust. Research of electrical information transmission in nervous system and its robust mechanism has great significance in improving the immunity and...
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Chapter and Conference Paper
Price Discount Subsidy Contract for a Two-Echelon Supply Chain with Random Yield
This paper revisits the traditional supplier–buyer integrated production–inventory model which deals with the problem of a manufacturer supplying a product to a retailer serving the end consumer with a known d...
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Chapter and Conference Paper
Virtual Teams in Massive Open Online Courses
Previous work on MOOCs highlights both that the current MOOCs fail to provide the kind of social environment that is desired and that social interaction and exchange of support is important for slowing down at...
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Chapter and Conference Paper
Research of Community Partition Based on the Modularity in Signed Network
For the characteristics of topology structure attributes and edges’ signed attributes in signed networks, a novel method of Signed Network Community Partition is proposed. Firstly, based on signed attributes, ...
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Chapter and Conference Paper
Privacy-Preserving Strategyproof Auction Mechanisms for Resource Allocation in Wireless Communications
In recent years, auction theory has been extensively studied and many state-of-art solutions have been proposed aiming at allocating scarce resources (e.g. spectrum resources in wireless communications). Unfortun...
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Chapter and Conference Paper
An Efficient Task Assignment Mechanism for Crowdsensing Systems
Crowdsensing has attracted more and more attention in recent years, which can help companies or data demanders to collect large amounts of data efficiently and cheaply. In a crowdsensing system, the sensing ta...
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Chapter and Conference Paper
Data Aggregation and Analysis: A Fast Algorithm of ECG Recognition Based on Pattern Matching
This paper presents a fast algorithm for the aggregation and analysis of ECG data. The whole process of fusion and analysis can be divided into three stages. ECG signal de-noising is the first stage. A combine...
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Chapter and Conference Paper
Flexible Manufacturing Chain: A SCM for Electronic Commerce Enterprise in Clothing Industry Based on Activiti
With the business development of the process, the manager needs to improve the automation, efficiency and reliability of the business process management, especially in manufacturing area. To solve this problem...
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Chapter and Conference Paper
Automatically Classify Chinese Judgment Documents Utilizing Machine Learning Algorithms
In law, a judgment is a decision by a court that resolves a controversy and determines the rights and liabilities of parties in a legal action or proceeding. In 2013, China Judgments Online system was launched...
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Chapter and Conference Paper
Enhancing Bug Report Assignment with an Optimized Reduction of Training Set
Despite the great potential to save the labor cost of developers, automated bug triaging as a text classification problem has not been thoroughly investigated on long descriptions, which are informative but of...
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Chapter and Conference Paper
Application Research of Escalators Status Monitor and Forecast Based on Vibration Analysis
Escalators are special equipment. Escalators safety is closely related to the public safety. In 2011, a failure of an escalator at Bei**g Zoo Metro Station, where some passengers were injured, resulted in a v...
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Chapter and Conference Paper
A 32 Gb/s Low Power Little Area Re-timer with PI Based CDR in 65 nm CMOS Technology
This paper presents a 32 Gb/s low power little area re-timer with Phase Interpolator (PI) based Clock and Data Recovery (CDR). To further ensure signal integrity, both a Continuous Time Linear Equalizer (CTLE)...
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Chapter and Conference Paper
History Repeats Itself: Human Motion Prediction via Motion Attention
Human motion prediction aims to forecast future human poses given a past motion. Whether based on recurrent or feed-forward neural networks, existing methods fail to model the observation that human motion ten...