13 Result(s)
within
Chapter
Conference Paper
Jun-Wei **ong
Computer Communication Networks
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Chapter and Conference Paper
Configuration Synthesis of 4 DOF Knee Rehabilitation Parallel Mechanism Based on Multiset Theory
The occurrence of diseases and accidental damage cause many people to have knee motion dysfunction, the synthesis design of the knee joint rehabilitation mechanism is of great significance. This paper proposes...
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Chapter and Conference Paper
Kinematics Analysis of the Wearable Waist Rehabilitation Robot
Patients with lumbar injuries are becoming more common and there is a shortage of intelligent rehabilitation equipment. A wearable lumbar rehabilitation robot for the treatment of low back pain disease is desi...
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Chapter and Conference Paper
A Reinforcement-Learning-Driven Bees Algorithm for Large-Scale Earth Observation Satellite Scheduling
The Earth Observation Satellite Scheduling Problem (EOSSP) is difficult to solve due to its scale and constraints. Through analysing the problem, we build a mathematical programming model of the EOSSP. After t...
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Chapter and Conference Paper
Parallel Materialization of Datalog Programs with Spark for Scalable Reasoning
As the volume of semantic data increases rapidly, semantic reasoning becomes a very challenging task. Existing scalable reasoners focus on fragments of OWL 2 RL (eg. RDFS, OWL Horst), and cannot support Semant...
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Chapter and Conference Paper
A Lightweight Evaluation Framework for Table Layouts in MapReduce Based Query Systems
Table layout determines the way how the relational row-column data values are organized and stored. In recent years, considerable candidates have been developed in MapReduce based query systems; they differ on...
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Chapter and Conference Paper
Sequential Pattern-Based Cache Replacement in Servlet Container
Servlet cache can effectively improve the throughput and reduce response time experienced by customers in servlet container. An essential issue of servlet cache is cache replacement. Traditional solutions such...
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Chapter and Conference Paper
An HTML Fragments Based Approach for Portlet Interoperability
Presentation level integration now becomes an important and fast growing trend in enterprise computing and portals are the mainstream to realize it. However, there is not yet a definitive mechanism to achieve ...
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Chapter and Conference Paper
Completing UML Model of Component-Based System with Middleware for Performance Evaluation
To free analysts from knowing about the internal details of middleware when evaluating the performance of component-based system (CBS), this paper proposes a framework to automatically integrate middleware com...
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Chapter and Conference Paper
Distinguishing Onion Leaves from Weed Leaves Based on Segmentation of Color Images and a BP Neural Network
A new algorithm to distinguish onion leaves from weed leaves in images is suggested. This algorithm is based on segmentation of color images and on BP neural network. It includes: discarding soil for conservin...
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Chapter and Conference Paper
A New United Certificate Revocation Scheme in Grid Environments
This paper analyses security drawbacks of traditional certificates revocation in GSI. And we bring forward a new united certificate revocation scheme. In our scheme, one-way hash chains, novel multiple certifi...
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Chapter and Conference Paper
Cabot: On the Ontology for the Middleware Support of Context-Aware Pervasive Applications
Middleware support is a major topic in pervasive computing. Existing studies mainly address the issues in the organization of and the collaboration amongst devices and services, but pay little attention to the...
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Chapter and Conference Paper
A Reliable Content-Based Routing Protocol over Structured Peer-to-Peer Networks
Much work has been done on building content-based publish/subscribe systems over structured P2P networks, so that the two technologies can be combined together to better support large-scale and highly dynamic ...
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Chapter and Conference Paper
Robust Face Recognition with Light Compensation
This paper proposes a face recognition method which is based on a Generalized Probabilistic Descent (GPD) learning rule with a three-layer feedforward network. This method aims to recognize faces in a loosely ...
